Zeenkis in the E-Commerce Enablers Industry

Zeenk

zeenk

Intro In today's world, where cybercrimes are becoming increasingly widespread, it is important to have access to effective tools for investigation and counteraction against these threats. One such tool is the CSI Linux operating system, specially designed for the needs of cybersecurity and cyber investigations. CSI Linux aims to provide users with tools for fast and accurate detection of digital traces and evidence that can be used for criminal investigations or for ensuring cybersecurity in organizations. The developers of this operating system claim that it simplifies the process of collecting, analyzing, and interpreting digital data, making it an important tool for professionals in the field of cybersecurity and cyber investigations. But is it really so? Let's find out... Basic information To begin with, I would like to provide some basic information about this distribution. Official website: https://csilinux.com/ As of the writing of this article, CSI Linux uses Ubuntu 22.04 LTS as its base platform. CSI Linux is an open-source project, so anyone interested can contribute to making it better. The installation process is quite simple, and there are many videos on this topic, such as this one. Although the process has changed slightly now, after downloading the disk image, you simply need to add (Machine -> Add) the virtual disk file in Vbox format to VirtualBox for it to run. To log into the system by default, use the username "CSI" and the password "CSI." There is also a whole book dedicated to working with CSI Linux, which can be purchased here. The terminology, list of all available software in CSI Linux, and other documentation are available at this link. Previously, CSI Linux had three separate packages on the CSI Linux Investigator platform, but now CSI Linux Gateway and CSI Linux Analyst are merged into one package, while CSI Linux SIEM is available as a separate image on the official website. All distributions can also be downloaded from the official website. For a better understanding, let me describe the three components of CSI Linux mentioned above: CSI Linux SIEM: This is a virtual machine included in the CSI Linux Investigator distribution. In fact, it is an Ubuntu distribution that includes a configured Zeek IDS and ELK Stack (Elasticsearch, Logstash, and Kibana). It is used as an intrusion detection system to protect other virtual machines (CSI Linux Analyst and CSI Linux Gateway), process logs, and display data on the management panels of CSI Linux Analyst. CSI Linux Gateway: This is a TOR user gateway that operates in a "sandbox" using utilities such as AppArmor, Jailbreak, and Shorewall Firewall. When using CSI Linux Analyst + CSI Linux Gateway, all traffic will pass through the TOR node. CSI Linux Analyst: This is the "core" of this distribution. It is a virtual machine running Ubuntu with a large amount of pre-installed software grouped by categories. We will discuss the list of categories later. It's worth noting that in the Incident Response menu, there is a section for CSI SIEM, but it is not active and displays "CSI SIEM Installer and Launch utility coming soon…" indicating a likely intention to integrate it with the third distribution. However, in any case, you can install and run SIEM separately using virtualization in VirtualBox, allowing you to have the full set of packages on the same server. Functionality review Now, let's get a bit closer to the mentioned operating system. To start working, we create a case (click on the "Start a Case" icon on the desktop or go to Menu -> CSI Linux Tools -> Start a Case). Then, all subsequent operations can be performed within the created case, where the results will be stored. Upon creation, you are immediately prompted to start work, and there are several options in the CSI Case Management Menu. It's important to know that most of the software is not pre-installed, and an automatic installation script is launched when selecting a program. Now, let's quickly go through the list of programs (both pre-installed and not) in each available category: CSI Linux Tools: A set of programs for system updates, management of CSI Tor VPN and Whonix Gateway for traffic routing, working with API resources used in CSI Linux, downloading videos, creating screenshots from various online resources, and much more. Secure Comms: This category includes "secure" online messengers. Encryption: Everything for decrypting hashes, password cracking, storing passwords, and personal data. OSINT/Online Investigations: A fairly large category where everyone can find the necessary tools for OSINT tasks. Among the most interesting are social media searches, phone and email searches. Dark Web: If the investigator encounters connection problems, this category is suitable. 'TOR > VPN,’ 'WHONIX'’ and so on, all for pleasant surfing. Incident Response: Everything for incident investigation, malware scanners, network analysis (Wireshark), and more. Computer Forensics: Computer forensics (data recovery and file analysis). Mobile Forensics: Mobile forensics tools for analysis and work with mobile phones. Vehicle Forensics: A set of utilities for working with the CAN (Controller Area Network) protocol. CAN is a network technology widely used in automation, embedded devices, and the automotive industry. Malware Analysis and Reverse Engineering: For the analysis of malicious scripts and programs, reverse engineering. SIGINT: A set of programs for radio channel analysis, hacking, and programming (FM, WiFi, etc.). Virtualization: A set of managers for virtualization. Threat Intelligence: Threat reconnaissance, cybercrime maps worldwide, and more. Practice Below are some screenshots of CSI Linux in action, demonstrating several tools and functionalities. You'll find attempts to search for individuals by username and email, showcasing the system's capabilities in gathering information from various sources. Conclusion After a basic introduction to the system and conducting several tests searching by phone, email, and username, I can say that CSI Linux partially works out of the box, but in most cases, you need to configure the software you're trying to investigate. There's an issue with blocking bots, through which criminalization occurs, as Tor VPN IP addresses have a poor reputation, or maybe sites identify it as bot activity and quickly block connections. The system is noticeably geared towards working with the world's most famous resources and social networks, but it lacks "out-of-the-box" support for local ones, which may be the most significant in a particular country. The set of programs is quite interesting, although not everything works right away, as already noted. For example, when I searched for data using my email, Buster found an article from 15 years ago on "Economic Truth" mentioning my address and Skype account. However, a simple Google search can find the same and even more. Furthermore, a search by username produced a bunch of irrelevant and unreliable information, which theoretically could be useful if filtered manually. Now I would like to add a little comparison with a competing system to CSI Linux and a more well-known operating system. Kali Linux, a Linux distribution, is popular in the cybersecurity community and is a basic tool for many cybersecurity specialists. However, comparing these two systems, we can say that the software offered by default in each of them is quite different. It's essential to understand that all the software presented in CSI Linux can be installed on Kali Linux and vice versa, as both are based on Ubuntu/Debian and are essentially extensions of the base. As the developers themselves claim, Kali Linux, with its set of programs, is more geared towards tasks such as penetration testing, security research, computer forensics, and reverse engineering. As soon as you log in and look at the main menu, you'll find mostly software for testing websites, social networks, or servers for vulnerabilities or hacking. There are many different bots, attackers, network analysis programs, and so on. So, these two systems are based on the same foundation but are created and configured for different tasks, although they can replace each other. CSI Linux has the right to exist, and it is definitely improving, but much needs to be "fine-tuned" to fit its needs, and one should be prepared for that. The "breakthrough" through the set of programs exists, but it lacks a wow effect and has quite a few inconsistencies. I hope you found this article interesting. By the way, I should mention that the CSI community has its own academy where you can take a course on various aspects of the project. Details are available at the CSI Linux Academy. Intro In today's world, where cybercrimes are becoming increasingly widespread, it is important to have access to effective tools for investigation and counteraction against these threats. One such tool is the CSI Linux operating system, specially designed for the needs of cybersecurity and cyber investigations. CSI Linux aims to provide users with tools for fast and accurate detection of digital traces and evidence that can be used for criminal investigations or for ensuring cybersecurity in organizations. The developers of this operating system claim that it simplifies the process of collecting, analyzing, and interpreting digital data, making it an important tool for professionals in the field of cybersecurity and cyber investigations. But is it really so? Let's find out... Basic information To begin with, I would like to provide some basic information about this distribution. Official website: https://csilinux.com/ As of the writing of this article, CSI Linux uses Ubuntu 22.04 LTS as its base platform. CSI Linux is an open-source project, so anyone interested can contribute to making it better. The installation process is quite simple, and there are many videos on this topic, such as this one. this Although the process has changed slightly now, after downloading the disk image, you simply need to add (Machine -> Add) the virtual disk file in Vbox format to VirtualBox for it to run. To log into the system by default, use the username "CSI" and the password "CSI." There is also a whole book dedicated to working with CSI Linux, which can be purchased here . here The terminology, list of all available software in CSI Linux, and other documentation are available at this link . link Previously, CSI Linux had three separate packages on the CSI Linux Investigator platform, but now CSI Linux Gateway and CSI Linux Analyst are merged into one package, while CSI Linux SIEM is available as a separate image on the official website. All distributions can also be downloaded from the official website. For a better understanding, let me describe the three components of CSI Linux mentioned above: CSI Linux SIEM: This is a virtual machine included in the CSI Linux Investigator distribution. In fact, it is an Ubuntu distribution that includes a configured Zeek IDS and ELK Stack (Elasticsearch, Logstash, and Kibana). It is used as an intrusion detection system to protect other virtual machines (CSI Linux Analyst and CSI Linux Gateway), process logs, and display data on the management panels of CSI Linux Analyst. CSI Linux SIEM: CSI Linux Gateway: This is a TOR user gateway that operates in a "sandbox" using utilities such as AppArmor, Jailbreak, and Shorewall Firewall. When using CSI Linux Analyst + CSI Linux Gateway, all traffic will pass through the TOR node. CSI Linux Gateway: CSI Linux Analyst: This is the "core" of this distribution. It is a virtual machine running Ubuntu with a large amount of pre-installed software grouped by categories. We will discuss the list of categories later. CSI Linux Analyst: It's worth noting that in the Incident Response menu, there is a section for CSI SIEM, but it is not active and displays "CSI SIEM Installer and Launch utility coming soon…" indicating a likely intention to integrate it with the third distribution. However, in any case, you can install and run SIEM separately using virtualization in VirtualBox, allowing you to have the full set of packages on the same server. Functionality review Now, let's get a bit closer to the mentioned operating system. To start working, we create a case (click on the "Start a Case" icon on the desktop or go to Menu -> CSI Linux Tools -> Start a Case). Then, all subsequent operations can be performed within the created case, where the results will be stored. Upon creation, you are immediately prompted to start work, and there are several options in the CSI Case Management Menu. It's important to know that most of the software is not pre-installed, and an automatic installation script is launched when selecting a program. Now, let's quickly go through the list of programs (both pre-installed and not) in each available category: CSI Linux Tools: CSI Linux Tools: CSI Linux Tools: A set of programs for system updates, management of CSI Tor VPN and Whonix Gateway for traffic routing, working with API resources used in CSI Linux, downloading videos, creating screenshots from various online resources, and much more. Secure Comms: Secure Comms: Secure Comms: This category includes "secure" online messengers. Encryption: Encryption: Encryption: Everything for decrypting hashes, password cracking, storing passwords, and personal data. OSINT/Online Investigations: OSINT/Online Investigations: OSINT/Online Investigations: A fairly large category where everyone can find the necessary tools for OSINT tasks. Among the most interesting are social media searches, phone and email searches. Dark Web: Dark Web: Dark Web: If the investigator encounters connection problems, this category is suitable. 'TOR > VPN,’ 'WHONIX'’ and so on, all for pleasant surfing. Incident Response: Incident Response: Incident Response: Everything for incident investigation, malware scanners, network analysis (Wireshark), and more. Computer Forensics: Computer Forensics: Computer Forensics: Computer forensics (data recovery and file analysis). Mobile Forensics: Mobile Forensics: Mobile Forensics: Mobile forensics tools for analysis and work with mobile phones. Vehicle Forensics: Vehicle Forensics: Vehicle Forensics: A set of utilities for working with the CAN (Controller Area Network) protocol. CAN is a network technology widely used in automation, embedded devices, and the automotive industry. Malware Analysis and Reverse Engineering: Malware Analysis and Reverse Engineering: Malware Analysis and Reverse Engineering: For the analysis of malicious scripts and programs, reverse engineering. SIGINT: SIGINT: SIGINT: A set of programs for radio channel analysis, hacking, and programming (FM, WiFi, etc.). Virtualization: Virtualization: Virtualization: A set of managers for virtualization. Threat Intelligence: Threat Intelligence: Threat Intelligence: Threat reconnaissance, cybercrime maps worldwide, and more. Practice Below are some screenshots of CSI Linux in action, demonstrating several tools and functionalities. You'll find attempts to search for individuals by username and email, showcasing the system's capabilities in gathering information from various sources. Conclusion After a basic introduction to the system and conducting several tests searching by phone, email, and username, I can say that CSI Linux partially works out of the box, but in most cases, you need to configure the software you're trying to investigate. There's an issue with blocking bots, through which criminalization occurs, as Tor VPN IP addresses have a poor reputation, or maybe sites identify it as bot activity and quickly block connections. The system is noticeably geared towards working with the world's most famous resources and social networks, but it lacks "out-of-the-box" support for local ones, which may be the most significant in a particular country. The set of programs is quite interesting, although not everything works right away, as already noted. For example, when I searched for data using my email, Buster found an article from 15 years ago on "Economic Truth" mentioning my address and Skype account. However, a simple Google search can find the same and even more. Furthermore, a search by username produced a bunch of irrelevant and unreliable information, which theoretically could be useful if filtered manually. Now I would like to add a little comparison with a competing system to CSI Linux and a more well-known operating system. Kali Linux , a Linux distribution, is popular in the cybersecurity community and is a basic tool for many cybersecurity specialists. However, comparing these two systems, we can say that the software offered by default in each of them is quite different. It's essential to understand that all the software presented in CSI Linux can be installed on Kali Linux and vice versa, as both are based on Ubuntu/Debian and are essentially extensions of the base. As the developers themselves claim, Kali Linux, with its set of programs, is more geared towards tasks such as penetration testing, security research, computer forensics, and reverse engineering. As soon as you log in and look at the main menu, you'll find mostly software for testing websites, social networks, or servers for vulnerabilities or hacking. There are many different bots, attackers, network analysis programs, and so on. Kali Linux So, these two systems are based on the same foundation but are created and configured for different tasks, although they can replace each other. CSI Linux has the right to exist, and it is definitely improving, but much needs to be "fine-tuned" to fit its needs, and one should be prepared for that. The "breakthrough" through the set of programs exists, but it lacks a wow effect and has quite a few inconsistencies. I hope you found this article interesting. By the way, I should mention that the CSI community has its own academy where you can take a course on various aspects of the project. Details are available at the CSI Linux Academy . CSI Linux Academy

CSI Linux: Linux Distribution for Cyber and OSINT Investigation

Nvidia's annual developer conference in 2024, known as GTC (GPU Technology Conference), was a pivotal event that unveiled groundbreaking advancements in artificial intelligence (AI) chips, software tools, and strategic partnerships. The conference, led by Nvidia's CEO Jensen Huang, showcased the company's commitment to innovation and leadership in the tech industry. And if you want to understand the latest trends from the world of AI - subscribe to my newsletter ‘ ‘. And the best part - it’s completely free! AI Hunters Now, onto the key takeaways from Nvidia's GTC 2024: Flagship AI Chip - B200 "Blackwell" The Flagship AI Chip - B200 "Blackwell" unveiled by Nvidia at GTC 2024 represents a groundbreaking advancement in AI chip technology. Named after mathematician David Blackwell, this new chip is a significant leap forward in performance, being 30 times faster than its predecessor, the Hopper series, particularly excelling at tasks like supporting advanced chatbots and large language models. With an impressive 208 billion transistors, more than double the previous chip, the B200 chip offers exceptional processing power. Despite its remarkable performance, the B200 chip is designed with efficiency in mind, using 25 times less energy and money than the previous Hopper series. This focus on efficiency not only enhances its cost-effectiveness but also positions it as a sustainable solution for AI applications. The innovative design of the B200 chip, which combines two squares of silicon into a single chip, allows all transistors to access memory simultaneously, further boosting productivity and performance. Nvidia's dominance in the data center AI chip market, with a market share of roughly 80%, underscores the significance of the B200 chip in shaping the future of AI technology. Major tech giants like Amazon, Google, Meta Platforms, Microsoft, OpenAI, and Tesla are expected to adopt this new chip, highlighting its importance and impact in the industry. Expected to hit the market later in 2024, the B200 chip offers advanced capabilities for AI applications. With its powerful performance, energy efficiency, and anticipated industry-wide adoption, the Blackwell B200 chip is poised to redefine AI processing and drive innovation across various sectors. Points to Reflect Upon: Performance Leap: Consider the implications of the B200 chip's 30x performance increase for AI applications and industries. Assess the feasibility of integrating the B200 chip into existing AI infrastructure for enhanced performance. Efficiency Benefits: Conduct a cost-benefit analysis to determine the potential savings from transitioning to the B200 chip. Software Tools for AI Integration Nvidia Inference Microservices (NIM) introduced at GTC 2024 represent a significant advancement in AI deployment technology. NIM is a cloud-native microservices solution that simplifies the development and deployment of generative AI applications across various infrastructures, including cloud, data centers, and GPU-accelerated workstations. It offers a streamlined path for developing AI-powered enterprise applications and deploying AI models in production, aiming to shorten time-to-market and simplify deployment processes for organizations transitioning to full-scale production deployments. NIM is designed to bridge the gap between the complexities of AI model development and the operational needs of enterprises, enabling a broader pool of developers to contribute to AI transformations within their companies. Some core benefits of NIM include its portability and control, allowing model deployment across various infrastructures, from local workstations to cloud environments. It provides prebuilt containers and Helm charts with optimized models validated across different NVIDIA hardware platforms, cloud service providers, and Kubernetes distributions, ensuring support across all NVIDIA-powered environments. Developers can access AI models through industry-standard APIs, simplifying the development of AI applications and enabling swift updates within the ecosystem. NIM also addresses the need for domain-specific solutions by packaging domain-specific NVIDIA CUDA libraries and specialized code tailored to various domains like language, speech, video processing, healthcare, and more. Leveraging optimized inference engines for each model and hardware setup, NIM ensures the best possible latency and throughput on accelerated infrastructure, reducing the cost of running inference workloads as they scale and enhancing the end-user experience. Part of the NVIDIA AI Enterprise suite, NIM is built with an enterprise-grade base container, providing a solid foundation for enterprise AI software through rigorous validation, enterprise support, and regular security updates. With support for various AI models, including community models, NVIDIA AI Foundation models, and custom AI models, NIM simplifies the AI model deployment process by packaging algorithmic, system, and runtime optimizations and adding industry-standard APIs. This comprehensive solution accelerates the deployment of scalable and customized AI applications in production, making AI more accessible and customizable across industries. Points to Reflect Upon: Business Impact: Consider how NIM can empower businesses to harness AI capabilities and drive innovation. Operational Efficiency: Evaluate how enhanced system efficiency can optimize business processes and decision-making. Strategic Partnerships and Collaborations Nvidia's expanded partnerships with industry leaders and software makers announced at GTC 2024 mark a significant milestone in the development of AI technologies and their integration into various sectors. These collaborations highlight Nvidia's strategic efforts to advance AI infrastructure, enhance AI capabilities, and drive innovation across industries. One key partnership involves Microsoft, where Nvidia and Microsoft are working together to bring the power of Nvidia Grace Blackwell GB200 and advanced Nvidia technologies to Azure. This collaboration aims to deliver trillion-parameter foundation models for tasks like natural language processing, computer vision, speech recognition, and more. Additionally, Microsoft is introducing the Azure NC H100 v5 VM virtual machine based on the Nvidia H100 NVL platform to cater to midrange training and inferencing needs. Furthermore, Nvidia's inference microservices are being integrated into Azure, enhancing AI capabilities for users by providing cloud-native microservices for optimized inference on various foundation models. This integration streamlines AI deployments and accelerates the development of performance-optimized production AI applications. In the automotive sector, Nvidia has deepened its ties with leading Chinese automakers like BYD, Xpeng, GAC Aion's Hyper brand, Zeekr, and Li Auto. These partnerships focus on integrating Nvidia's cutting-edge technologies, such as the Drive Thor in-vehicle chips, to enhance autonomous driving capabilities and infotainment systems in vehicles. Collaborations with US-based software company Cerence aim to adapt large language model AI systems for in-car applications, promising advanced voice command systems and improved user experiences. Overall, these partnerships unveiled at GTC 2024 demonstrate Nvidia's commitment to driving innovation across various industries by leveraging cutting-edge technologies and fostering collaborations with industry leaders and software makers. Points to Reflect Upon: Industry Impact: Consider how partnerships with key players can influence the adoption and integration of Nvidia's technology in various sectors. Innovation Potential: Reflect on the potential for collaborative efforts to drive innovation and create new opportunities in AI and technology. Focus on Sustainability and Sovereign AI Nvidia's emphasis on sustainability and sovereign AI initiatives at GTC 2024 underscores the company's commitment to responsible technology development. The focus on addressing environmental concerns related to AI training and data center energy consumption demonstrates Nvidia's proactive stance on sustainability issues. By prioritizing energy efficiency and sustainable practices in AI development, Nvidia is setting a standard for responsible innovation in the tech industry. Furthermore, Nvidia's dedication to sovereign AI initiatives, which enable nations to produce AI using their infrastructure and workforce, highlights the company's commitment to promoting ethical and secure AI practices globally. By empowering countries to develop AI capabilities locally, Nvidia is fostering digital sovereignty and supporting economic growth while ensuring data protection and security. Overall, Nvidia's dual focus on sustainability and sovereign AI at GTC 2024 showcases the company's holistic approach to technology development, balancing innovation with ethical considerations and environmental responsibility. This strategic emphasis on sustainability and sovereignty sets Nvidia apart as a leader in responsible AI practices and underscores its commitment to shaping a more sustainable and secure future for AI technologies. Points to Reflect Upon: Environmental Responsibility: Consider the implications of Nvidia's sustainability efforts on the tech industry and environmental conservation. Develop a sustainability strategy to align with Nvidia's initiatives. Ethical AI Practices: Reflect on the importance of promoting ethical AI practices and ensuring transparency in AI development. Global Engagement: Explore opportunities for global engagement to promote sovereign AI practices and support technological independence. Market Position and Future Outlook Nvidia's strong market position and future outlook were prominently highlighted at GTC 2024, emphasizing the company's leadership in GPU technology and AI innovation amidst competition from rivals like AMD, Intel, and emerging startups. Announcements at GTC 2024 regarding new products such as the Blackwell GPU series, DGX GB200 System, and DGX SuperPOD underscore Nvidia's focus on advancing AI infrastructure and enabling next-generation AI models. This strategic vision positions Nvidia at the forefront of technological advancements that will shape the future of AI computing and high-performance computing (HPC). Overall, Nvidia's market position and future outlook at GTC 2024 highlight its resilience, innovation drive, and strategic vision for continued growth and leadership in the evolving landscape of AI technologies. To sum up, Nvidia's annual developer conference in 2024 was a platform for unveiling cutting-edge AI technology, software tools, and strategic partnerships that reinforce the company's position as a leader in the tech industry. The key takeaways from GTC 2024 underscore Nvidia's commitment to innovation, sustainability, and collaboration, setting the stage for continued advancements in AI, GPU technology, and high-performance computing. P.S. Check out some of my previous articles at HackerNoon: Google Introduces Gemma: Revolutionary Access to Pre-Trained AI Models Sora's AI Innovation Set to Disrupt Video Content Creation Breaking Down the Next Big Thing in NFTs: ERC-404 Spotlight Gemini 1.5 Unleashes Unprecedented Context for AI Applications The AI Revolution in Journalism: A New Era of Enhanced Reporting DeFi Community Building: A Step-by-Step Guide for Crypto Startups

Nvidia GPU Technology Conference In 2024: A Deep-Dive 

Older and Younger Adults Are Influenced Differently by Dark Pattern Designs: Conclusion & References

✨ As we welcome 2024, let's take a moment to applaud the incredible stories that fueled our hacker minds in 2023! 🚀 We've compiled a 2023 roundup of the top most-read stories, top active writers, top tech categories, and even the top most popular templates. These insights might be just what you need to start the 2024 right! Pro-tip: There’s a little surprise at the end! Most Read Stories Of The Year⁠ We've compiled the 23 most-read stories from last year: it's time to give a virtual high-five to our phenomenal writers! 📚✨ 1. , by Every Game of the Year Winner in Chronological Order . Jose Hernandez https://hackernoon.com/every-game-of-the-year-winner-in-chronological-order?embedable=true , by Navigating Big Data's Potential and Privacy in Modern Medicine Viktoriia Erokhina https://hackernoon.com/navigating-big-datas-potential-and-privacy-in-modern-medicine?embedable=true , by How to Implement a Merkle Tree in Solidity Daniel Shvetsov https://hackernoon.com/how-to-implement-a-merkle-tree-in-solidity?embedable=true , by Solid Principles in Smart Contract Development Daniel Shvetsov https://hackernoon.com/solid-principles-in-smart-contract-development?embedable=true , by Android Devices in Enterprise Mobility: Navigating Key Risks Alexey Zhurba https://hackernoon.com/android-devices-in-enterprise-mobility-navigating-key-risks?embedable=true , by Profiting in Times of Crises: The Silicon Valley Bank Story Alexey Zhurba https://hackernoon.com/profiting-in-times-of-crises-the-silicon-valley-bank-story?embedable=true , by The World Is Ready for a New Type of Operating System Theo Priestley https://hackernoon.com/the-world-is-ready-for-a-new-type-of-operating-system?embedable=true , by How to Centre an Element in CSS with Tailwind Jonathon Simpson https://hackernoon.com/how-to-centre-an-element-in-css-with-tailwind?embedable=true by Smart Contract Optimization: How to Use Less Gas in Ethereum Daniel Shvetsov https://hackernoon.com/smart-contract-optimization-how-to-use-less-gas-in-ethereum?embedable=true , by The Potential Impact of the Metaverse on Education Lomit Patel https://hackernoon.com/the-potential-impact-of-the-metaverse-on-education?embedable=true by The 7 Software Architecture Books Experienced Developers Need to Read Javin Paul https://hackernoon.com/the-7-software-architecture-books-experienced-developers-need-to-read?embedable=true by 13 Best Datasets for Power BI Practice Datasets https://hackernoon.com/13-best-datasets-for-power-bi-practice?embedable=true , by Coding: The Universal Language You Must Learn Lomit Patel https://hackernoon.com/coding-the-universal-language-you-must-learn?embedable=true , by Portfolio Optimization with Python and Quantum Computing Techniques Dmitrii Abramov , by Validate Binary Search Tree: Blind 75 LeetCode Question Ruslan Rakhmedo by 15 Excel Datasets for Data Analytics Beginners Datasets , by Introducing Drag-Your-GAN: Drag Objects to Create New Images Louis-François Bouchard , by How to Design a Messaging Service in Your 45-Minute System Design Interview Leonid Zemenkov by How to Fix Android Not Receiving Verification Texts Error Manmohan Singh , by I Conducted Experiments with the Alpacallama-7B Language Model: Here Are the Results Zheng "Bruce" Li , by Unveiling the Power of PM and P3M Algorithms on GPUs Alexey Ozeritskiy by How to Create a Solar System in JavaScript with Three.js Daniel Shvetsov , by Facilitating Team Development in a High-Pressure Environment Anton Rysin Use to share writing tips with the HackerNoon community! this template Most Active Writers Of The Year And now, let's cheer for the movers and shakers of 2023 – some of our most active writers, the ones who never let their keyboards gather dust and kept us hooked with the hottest info on the web. Let’s give it up to: Ishan Pandey Ulrik Lykke Andrey Didovskiy ZeroRequiem Mike Young Shai Almog Obyte Nicolas Fränkel Marcin Wosinek Frank Z Most Popular Tech Categories in 2023 Some Tech Categories really got you going - let’s take a look at the top ten of 2023: : This category resounds popular, accounting for 37% of all reads! Programming [Write a programming story with .] this template : The second runner-up drops to 16% of all reads on HackerNoon - a significant decrease but still huge in readers’ interest. Machine-learning [Tell us what they don’t say about AI/ML with ] this template : The third place earned 13% of the whole audience readership! Web3 [Discuss Web3’s future with ] this template : Just a little bit behind, Tech Stories accounts for 12% of all reads. Tech Stories [Tell us the last thing you learned with ] this template : Now, for the second noteworthy drop: Gaming accounts for almost 5% of all reads; though significantly lower, it still encompasses 565,728 reads! Gaming [Review a game with ] this template : This category accounts for 3,82% of all reads. Cloud [Write a Cloud story with ] this template : A short distance behind, we have the Cybersecurity category, representing 3,70% of all reads. Cybersecurity [Tell us how you got into Cybersecurity story with ] this template : With 3,55%, Data Science holds the 8th place on this list. Data Science [Write about Data with ] this template : This category holds 3,26% of all readership! Futurism [Discuss the Future of Tech with ] this template : Last but not least, the business category contains 3,09% of all readership, which breaks down to 377,215 reads. Business [Tell us about your Business with ] this template Most Popular Writing Templates in 2023 HackerNoon writing templates are at your disposal at all times, but you clearly had some favorites: Meet The Writer Web Development Web3 General Interview Write a Hackernoon Top Story Writer Versus Blank Page Everyone Should Know About It Describe Your Life Hacks Thank you all for the words you shared with HackerNoon 💚 We couldn’t have done it without you! If you didn’t see your name up on this list, don’t get discouraged - you’re on our personal favorites list for sure 🤗 And you add “reach a wider audience” or “become a more productive writer” to your 2024 resolutions. You have what it takes to smash your goals and we’ll keep feeding you the tips you need to get there, right here, in your inbox 📧 Surprise Time! HackerNoon is partnering with the 2024 editions of , , and , and we have three (3) tickets to offer! CXO 2.0 Conference Marketing 2.0 Conference Internet 2.0 Conference The 2.0 Conferences explore the future of , tools and insights to excel in today's landscape, and draw innovative minds from around the world. They’ll be taking place from February 20th to 22nd in Dubai and from March 18th to 20th in Las Vegas. #leadership #marketing Find out more about the event here. Curious? Email to express your interest - the lucky winners will be revealed in the next writers’ note. monica@hackernoon.com Happy 2024!

Unveiling the Best of 2023: Top Stories, Writers, Tech Categories, and Templates! 📚

This paper is available on arxiv under CC 4.0 license. . Authors: Gemini Team, Google Table of Links Abstract and Introduction Model Architecture Training Infrastructure Training Dataset Evaluation Responsible Deployment Discussion and Conclusion, References Contributions and Acknowledgments Appendix 8. Contributions and Acknowledgments Leads Rohan Anil, Co-Lead, Text Sebastian Borgeaud, Co-Lead, Text Yonghui Wu, Co-Lead, Text Jean-Baptiste Alayrac, Co-Lead, MM Vision Jiahui Yu, Co-Lead, MM Vision Radu Soricut*, Co-Lead, MM Vision* Johan Schalkwyk, Lead, MM Audio Andrew M. Dai, Co-Lead, Data Anja Hauth*, Co-Lead, Data* Katie Millican, Co-Lead, Data David Silver, Co-Lead, Fine-Tuning Slav Petrov, Co-Lead, Fine-Tuning Melvin Johnson, Lead, Instruction Tuning Ioannis Antonoglou*, Co-Lead, RL Techniques* Julian Schrittwieser, Co-Lead, RL Techniques Amelia Glaese, Lead, Human Data Jilin Chen, Lead, Safety Emily Pitler, Co-Lead, Tool Use Timothy Lillicrap, Co-Lead, Tool Use Angeliki Lazaridou, Co-Lead, Eval Orhan Firat, Co-Lead, Eval James Molloy, Co-Lead, Infra Michael Isard, Co-Lead, Infra Paul R. Barham, Co-Lead, Infra Tom Hennigan, Co-Lead, Infra Benjamin Lee, Co-Lead, Codebase & Parallelism Fabio Viola, Co-Lead, Codebase & Parallelism Malcolm Reynolds, Co-Lead, Codebase & Parallelism Yuanzhong Xu, Co-Lead, Codebase & Parallelism Ryan Doherty, Lead, Ecosystem Eli Collins, Lead, Product Clemens Meyer, Co-Lead, Operations Eliza Rutherford, Co-Lead, Operations Erica Moreira, Co-Lead, Operations Kareem Ayoub, Co-Lead, Operations Megha Goel, Co-Lead, Operations Core Contributors George Tucker Enrique Piqueras Maxim Krikun Iain Barr Nikolay Savinov Ivo Danihelka Becca Roelofs Core Contributors Anaïs White Anders Andreassen Tamara von Glehn Lakshman Yagati Mehran Kazemi Lucas Gonzalez Misha Khalman Jakub Sygnowski Alexandre Frechette Charlotte Smith Laura Culp Lev Proleev Yi Luan Xi Chen James Lottes Nathan Schucher Federico Lebron Alban Rrustemi Natalie Clay Phil Crone Tomas Kocisky Jeffrey Zhao Bartek Perz Dian Yu Heidi Howard Adam Bloniarz Jack W. Rae Han Lu Laurent Sifre Marcello Maggioni Fred Alcober Dan Garrette Megan Barnes Shantanu Thakoor Jacob Austin Gabriel Barth-Maron William Wong Rishabh Joshi Rahma Chaabouni Deeni Fatiha Arun Ahuja Ruibo Liu Yunxuan Li Sarah Cogan Jeremy Chen Core Contributors Chao Jia Chenjie Gu Qiao Zhang Jordan Grimstad Ale Jakse Hartman Martin Chadwick Gaurav Singh Tomar Xavier Garcia Evan Senter Emanuel Taropa Thanumalayan Sankaranarayana Pillai Jacob Devlin Michael Laskin Diego de Las Casas Dasha Valter Connie Tao Lorenzo Blanco Adrià Puigdomènech Badia David Reitter Mianna Chen Jenny Brennan Clara Rivera Sergey Brin Shariq Iqbal Gabriela Surita Jane Labanowski Abhi Rao Stephanie Winkler Emilio Parisotto Yiming Gu Kate Olszewska Yujing Zhang Ravi Addanki Antoine Miech Annie Louis Laurent El Shafey Denis Teplyashin Geoff Brown Elliot Catt Nithya Attaluri Jan Balaguer Jackie Xiang Pidong Wang Zoe Ashwood Anton Briukhov Albert Webson Sanjay Ganapathy Smit Sanghavi Core Contributors Ajay Kannan Ming-Wei Chang Axel Stjerngren Josip Djolonga Yuting Sun Ankur Bapna Matthew Aitchison Pedram Pejman Henryk Michalewski Tianhe Yu Cindy Wang Juliette Love Junwhan Ahn Dawn Bloxwich Kehang Han Peter Humphreys Thibault Sellam James Bradbury Varun Godbole Sina Samangooei Bogdan Damoc Alex Kaskasoli Sébastien M. R. Arnold Vijay Vasudevan Shubham Agrawal Jason Riesa Dmitry Lepikhin Richard Tanburn Srivatsan Srinivasan Hyeontaek Lim Sarah Hodkinson Pranav Shyam Johan Ferret Steven Hand Ankush Garg Tom Le Paine Jian Li Yujia Li Minh Giang Alexander Neitz Zaheer Abbas Sarah York Machel Reid Elizabeth Cole Aakanksha Chowdhery Dipanjan Das Dominika Rogozińska Vitaly Nikolaev Core Contributors Pablo Sprechmann Zachary Nado Lukas Zilka Flavien Prost Luheng He Marianne Monteiro Gaurav Mishra Chris Welty Josh Newlan Dawei Jia Miltiadis Allamanis Clara Huiyi Hu Raoul de Liedekerke Justin Gilmer Carl Saroufim Shruti Rijhwani Shaobo Hou Disha Shrivastava Anirudh Baddepudi Alex Goldin Adnan Ozturel Albin Cassirer Yunhan Xu Daniel Sohn Devendra Sachan Reinald Kim Amplayo Craig Swanson Dessie Petrova Shashi Narayan Arthur Guez Siddhartha Brahma Jessica Landon Miteyan Patel Ruizhe Zhao Kevin Villela Luyu Wang Wenhao Jia Matthew Rahtz Mai Giménez Legg Yeung Hanzhao Lin James Keeling Petko Georgiev Diana Mincu Boxi Wu Salem Haykal Rachel Saputro Kiran Vodrahalli Core Contributors James Qin Zeynep Cankara Abhanshu Sharma Nick Fernando Will Hawkins Behnam Neyshabur Solomon Kim Adrian Hutter Priyanka Agrawal Alex Castro-Ros George van den Driessche Tao Wang Fan Yang Shuo-yiin Chang Paul Komarek Ross McIlroy Mario Lučić Guodong Zhang Wael Farhan Michael Sharman Paul Natsev Paul Michel Yong Cheng Yamini Bansal Siyuan Qiao Kris Cao Siamak Shakeri Christina Butterfield Justin Chung Paul Kishan Rubenstein Shivani Agrawal Arthur Mensch Kedar Soparkar Karel Lenc Timothy Chung Aedan Pope Loren Maggiore Jackie Kay Priya Jhakra Shibo Wang Joshua Maynez Mary Phuong Taylor Tobin Andrea Tacchetti Maja Trebacz Kevin Robinson Yash Katariya Sebastian Riedel Core Contributors Paige Bailey Kefan Xiao Nimesh Ghelani Lora Aroyo Ambrose Slone Neil Houlsby Xuehan Xiong Zhen Yang Elena Gribovskaya Jonas Adler Mateo Wirth Lisa Lee Music Li Thais Kagohara Jay Pavagadhi Sophie Bridgers Anna Bortsova Sanjay Ghemawat Zafarali Ahmed Tianqi Liu Richard Powell Vijay Bolina Mariko Iinuma Polina Zablotskaia James Besley Da-Woon Chung Timothy Dozat Ramona Comanescu Xiance Si Jeremy Greer Guolong Su Martin Polacek Raphaël Lopez Kaufman Simon Tokumine Hexiang Hu Elena Buchatskaya Yingjie Miao Mohamed Elhawaty Aditya Siddhant Nenad Tomasev Jinwei Xing Christina Greer Helen Miller Shereen Ashraf Aurko Roy Zizhao Zhang Ada Ma Angelos Filos Core Contributors Milos Besta Rory Blevins Ted Klimenko Chih-Kuan Yeh Soravit Changpinyo Jiaqi Mu Oscar Chang Mantas Pajarskas Carrie Muir Vered Cohen Charline Le Lan Krishna Haridasan Amit Marathe Steven Hansen Sholto Douglas Rajkumar Samuel Mingqiu Wang Sophia Austin Chang Lan Jiepu Jiang Justin Chiu Jaime Alonso Lorenzo Lars Lowe Sjösund Sébastien Cevey Zach Gleicher Thi Avrahami Anudhyan Boral Hansa Srinivasan Vittorio Selo Rhys May Konstantinos Aisopos Léonard Hussenot Livio Baldini Soares Kate Baumli Michael B. Chang Adrià Recasens Ben Caine Alexander Pritzel Filip Pavetic Fabio Pardo Anita Gergely Justin Frye Vinay Ramasesh Dan Horgan Kartikeya Badola Nora Kassner Subhrajit Roy Ethan Dyer Core Contributors Víctor Campos Alex Tomala Yunhao Tang Dalia El Badawy Elspeth White Basil Mustafa Oran Lang Abhishek Jindal Sharad Vikram Zhitao Gong Sergi Caelles Ross Hemsley Gregory Thornton Fangxiaoyu Feng Wojciech Stokowiec Ce Zheng Phoebe Thacker Çağlar Ünlü Zhishuai Zhang Mohammad Saleh James Svensson Max Bileschi Piyush Patil Ankesh Anand Roman Ring Katerina Tsihlas Arpi Vezer Marco Selvi Toby Shevlane Mikel Rodriguez Tom Kwiatkowski Samira Daruki Keran Rong Allan Dafoe Nicholas FitzGerald Keren Gu-Lemberg Mina Khan Lisa Anne Hendricks Marie Pellat Vladimir Feinberg James Cobon-Kerr Tara Sainath Maribeth Rauh Sayed Hadi Hashemi Richard Ives Yana Hasson YaGuang Li Eric Noland Core Contributors Yuan Cao Nathan Byrd Le Hou Qingze Wang Thibault Sottiaux Michela Paganini Jean-Baptiste Lespiau Alexandre Moufarek Samer Hassan Kaushik Shivakumar Joost van Amersfoort Amol Mandhane Pratik Joshi Anirudh Goyal Matthew Tung Andrew Brock Hannah Sheahan Vedant Misra Cheng Li Nemanja Rakićević Mostafa Dehghani Fangyu Liu Sid Mittal Junhyuk Oh Seb Noury Eren Sezener Fantine Huot Matthew Lamm Nicola De Cao Charlie Chen Contributors Gamaleldin Elsayed Ed Chi Mahdis Mahdieh Ian Tenney Nan Hua Ivan Petrychenko Patrick Kane Dylan Scandinaro Rishub Jain Jonathan Uesato Romina Datta Adam Sadovsky Oskar Bunyan Dominik Rabiej Shimu Wu John Zhang Contributors Gautam Vasudevan Edouard Leurent Mahmoud Alnahlawi Ionut Georgescu Nan Wei Ivy Zheng Betty Chan Pam G Rabinovitch Piotr Stanczyk Ye Zhang David Steiner Subhajit Naskar Michael Azzam Matthew Johnson Adam Paszke Chung-Cheng Chiu Jaume Sanchez Elias Afroz Mohiuddin Faizan Muhammad Jin Miao Andrew Lee Nino Vieillard Sahitya Potluri Jane Park Elnaz Davoodi Jiageng Zhang Jeff Stanway Drew Garmon Abhijit Karmarkar Zhe Dong Jong Lee Aviral Kumar Luowei Zhou Jonathan Evens William Isaac Zhe Chen Johnson Jia Anselm Levskaya Zhenkai Zhu Chris Gorgolewski Peter Grabowski Yu Mao Alberto Magni Kaisheng Yao Javier Snaider Norman Casagrande Paul Suganthan Evan Palmer Contributors Geoffrey Irving Edward Loper Manaal Faruqui Isha Arkatkar Nanxin Chen Izhak Shafran Michael Fink Alfonso Castaño Irene Giannoumis Wooyeol Kim Mikołaj Rybiński Ashwin Sreevatsa Jennifer Prendki David Soergel Adrian Goedeckemeyer Willi Gierke Mohsen Jafari Meenu Gaba Jeremy Wiesner Diana Gage Wright Yawen Wei Harsha Vashisht Yana Kulizhskaya Jay Hoover Maigo Le Lu Li Chimezie Iwuanyanwu Lu Liu Kevin Ramirez Andrey Khorlin Albert Cui Tian LIN Marin Georgiev Marcus Wu Ricardo Aguilar Keith Pallo Abhishek Chakladar Alena Repina Xihui Wu Tom van der Weide Priya Ponnapalli Caroline Kaplan Jiri Simsa Shuangfeng Li Olivier Dousse Fan Yang Jeff Piper Nathan Ie Contributors Minnie Lui Rama Pasumarthi Nathan Lintz Anitha Vijayakumar Lam Nguyen Thiet Daniel Andor Pedro Valenzuela Cosmin Paduraru Daiyi Peng Katherine Lee Shuyuan Zhang Somer Greene Duc Dung Nguyen Paula Kurylowicz Sarmishta Velury Sebastian Krause Cassidy Hardin Lucas Dixon Lili Janzer Kiam Choo Ziqiang Feng Biao Zhang Achintya Singhal Tejasi Latkar Mingyang Zhang Quoc Le Elena Allica Abellan Dayou Du Dan McKinnon Natasha Antropova Tolga Bolukbasi Orgad Keller David Reid Daniel Finchelstein Maria Abi Raad Remi Crocker Peter Hawkins Robert Dadashi Colin Gaffney Sid Lall Ken Franko Egor Filonov Anna Bulanova Rémi Leblond Vikas Yadav Shirley Chung Harry Askham Luis C. Cobo Contributors Kelvin Xu Felix Fischer Jun Xu Christina Sorokin Chris Alberti Chu-Cheng Lin Colin Evans Hao Zhou Alek Dimitriev Hannah Forbes Dylan Banarse Zora Tung Jeremiah Liu Mark Omernick Colton Bishop Chintu Kumar Rachel Sterneck Ryan Foley Rohan Jain Swaroop Mishra Jiawei Xia Taylor Bos Geoffrey Cideron Ehsan Amid Francesco Piccinno Xingyu Wang Praseem Banzal Petru Gurita Hila Noga Premal Shah Daniel J. Mankowitz Alex Polozov Nate Kushman Victoria Krakovna Sasha Brown MohammadHossein Bateni Dennis Duan Vlad Firoiu Meghana Thotakuri Tom Natan Anhad Mohananey Matthieu Geist Sidharth Mudgal Sertan Girgin Hui Li Jiayu Ye Ofir Roval Reiko Tojo Contributors Michael Kwong James Lee-Thorp Christopher Yew Quan Yuan Sumit Bagri Danila Sinopalnikov Sabela Ramos John Mellor Abhishek Sharma Aliaksei Severyn Jonathan Lai Kathy Wu Heng-Tze Cheng David Miller Nicolas Sonnerat Denis Vnukov Rory Greig Jennifer Beattie Emily Caveness Libin Bai Julian Eisenschlos Alex Korchemniy Tomy Tsai Mimi Jasarevic Weize Kong Phuong Dao Zeyu Zheng Frederick Liu Fan Yang Rui Zhu Mark Geller Tian Huey Teh Jason Sanmiya Evgeny Gladchenko Nejc Trdin Andrei Sozanschi Daniel Toyama Evan Rosen Sasan Tavakkol Linting Xue Chen Elkind Oliver Woodman John Carpenter George Papamakarios Rupert Kemp Sushant Kafle Tanya Grunina Rishika Sinha Contributors Alice Talbert Abhimanyu Goyal Diane Wu Denese Owusu-Afriyie Cosmo Du Chloe Thornton Jordi Pont-Tuset Pradyumna Narayana Jing Li Saaber Fatehi John Wieting Omar Ajmeri Benigno Uria Tao Zhu Yeongil Ko Laura Knight Amélie Héliou Ning Niu Shane Gu Chenxi Pang Dustin Tran Yeqing Li Nir Levine Ariel Stolovich Norbert Kalb Rebeca Santamaria-Fernandez Sonam Goenka Wenny Yustalim Robin Strudel Ali Elqursh Balaji Lakshminarayanan Charlie Deck Shyam Upadhyay Hyo Lee Mike Dusenberry Zonglin Li Xuezhi Wang Kyle Levin Raphael Hoffmann Dan Holtmann-Rice Olivier Bachem Summer Yue Sho Arora Eric Malmi Daniil Mirylenka Qijun Tan Christy Koh Soheil Hassas Yeganeh Contributors Siim Põder Steven Zheng Francesco Pongetti Mukarram Tariq Yanhua Sun Lucian Ionita Mojtaba Seyedhosseini Pouya Tafti Ragha Kotikalapudi Zhiyu Liu Anmol Gulati Jasmine Liu Xinyu Ye Bart Chrzaszcz Lily Wang Nikhil Sethi Tianrun Li Ben Brown Shreya Singh Wei Fan Aaron Parisi Joe Stanton Chenkai Kuang Vinod Koverkathu Christopher A. Choquette-Choo Yunjie Li TJ Lu Abe Ittycheriah Prakash Shroff Pei Sun Mani Varadarajan Sanaz Bahargam Rob Willoughby David Gaddy Ishita Dasgupta Guillaume Desjardins Marco Cornero Brona Robenek Bhavishya Mittal Ben Albrecht Ashish Shenoy Fedor Moiseev Henrik Jacobsson Alireza Ghaffarkhah Morgane Rivière Alanna Walton Clément Crepy Alicia Parrish Contributors Yuan Liu Zongwei Zhou Clement Farabet Carey Radebaugh Praveen Srinivasan Claudia van der Salm Andreas Fidjeland Salvatore Scellato Eri Latorre-Chimoto Hanna Klimczak-Plucińska David Bridson Dario de Cesare Tom Hudson Piermaria Mendolicchio Lexi Walker Alex Morris Ivo Penchev Matthew Mauger Alexey Guseynov Alison Reid Seth Odoom Lucia Loher Victor Cotruta Madhavi Yenugula Dominik Grewe Anastasia Petrushkina Tom Duerig Antonio Sanchez Steve Yadlowsky Amy Shen Amir Globerson Adam Kurzrok Lynette Webb Sahil Dua Dong Li Preethi Lahoti Surya Bhupatiraju Dan Hurt Haroon Qureshi Ananth Agarwal Tomer Shani Matan Eyal Anuj Khare Shreyas Rammohan Belle Lei Wang Chetan Tekur Mihir Sanjay Kale Jinliang Wei Contributors Ruoxin Sang Brennan Saeta Tyler Liechty Yi Sun Yao Zhao Stephan Lee Pandu Nayak Doug Fritz Manish Reddy Vuyyuru John Aslanides Nidhi Vyas Martin Wicke Xiao Ma Taylan Bilal Evgenii Eltyshev Daniel Balle Nina Martin Hardie Cate James Manyika Keyvan Amiri Yelin Kim Xi Xiong Kai Kang Florian Luisier Nilesh Tripuraneni David Madras Mandy Guo Austin Waters Oliver Wang Joshua Ainslie Jason Baldridge Han Zhang Garima Pruthi Jakob Bauer Feng Yang Riham Mansour Jason Gelman Yang Xu George Polovets Ji Liu Honglong Cai Warren Chen XiangHai Sheng Emily Xue Sherjil Ozair Adams Yu Christof Angermueller Contributors Xiaowei Li Weiren Wang Julia Wiesinger Emmanouil Koukoumidis Yuan Tian Anand Iyer Madhu Gurumurthy Mark Goldenson Parashar Shah MK Blake Hongkun Yu Anthony Urbanowicz Jennimaria Palomaki Chrisantha Fernando Kevin Brooks Ken Durden Harsh Mehta Nikola Momchev Elahe Rahimtoroghi Maria Georgaki Amit Raul Sebastian Ruder Morgan Redshaw Jinhyuk Lee Komal Jalan Dinghua Li Ginger Perng Blake Hechtman Parker Schuh Milad Nasr Mia Chen Kieran Milan Vladimir Mikulik Trevor Strohman Juliana Franco Tim Green Program Leads Demis Hassabis Koray Kavukcuoglu Overall Technical Leads (equal contribution) Jeffrey Dean Oriol Vinyals The roles are defined as below: • : Individual(s) responsible for the sub-team throughout the project. Lead Individual that had significant impact throughout the project. • Core Contributor: : Individual that had contributions to the project and was partially involved with the effort. • Contributor Responsible for the organizational aspects of the Gemini effort • Program Lead: Responsible for the technical direction of the overall Gemini effort • Overall Technical Lead: Within each role, contributions are equal, and are listed in a randomized order. Ordering within each role does not indicate ordering of the contributions. Gemini is a cross-Google effort, with members from Google DeepMind (GDM), Google Research (GR), Knowledge and Information (K&I), Core ML, Cloud, Labs, and more. We thank our reviewers and colleagues for their valuable discussions and feedback on the report— Alexandra Belias, Arielle Bier, Eleanor Tomlinson, Emily Hossellman, Gaby Pearl, Helen King, Hollie Dobson, Jaclyn Konzelmann, Jennifer Beroshi, Joel Moss, Jon Small, Jonathan Fildes, Oli Gaymond, Rebecca Bland, Reena Jana, and Tom Lue. Our work is made possible by the dedication and efforts of numerous teams at Google. We would like to acknowledge the support from Abhi Mohan, Adekunle Bello, Aishwarya Nagarajan, Alaa Saade, Alejandro Lince, Alexander Chen, Alexander Kolbasov, Alexander Schiffhauer, Amar Subramanya, Ameya Shringi, Amin Vahdat, Anda Rabatić, Anthonie Gross, Antoine Yang, Anthony Green, Anton Ruddock, Art Khurshudov, Artemis Chen, Arthur Argenson, Avinatan Hassidim, Beiye Liu, Benjamin Schroeder, Bin Ni, Brett Daw, Bryan Chiang, Burak Gokturk, Carl Crous, Carrie Grimes Bostock, Charbel Kaed, Charlotte Banks, Che Diaz, Chris Larkin, Christy Lian, Claire Cui, Clare Bycroft, Corentin Tallec, Daniel Herndon, Dave Burke, David Battle, David Engel, Dipannita Shaw, Donghyun Koo, Doug Ritchie, Dragos Stefanescu, Elissa Wolf, Emre Sargin, Eran Ofek, Eric Herren, Estella King, Fatema Alkhanaizi, Felix Gimeno, Fernando Pereira, Florent Altché, Gabriel Carvajal, Gaurav Gandhi, George Powell, Goran Pavičić, Harry Richardson, Hassan Wassel, Hongji Li, Idan Szpektor, Igor Ivanisevic, Ivan Jambrešić, Ivan Jurin, Jade Fowler, James Assiene, Jay Yagnik, Jeanbastien Grill, Jeff Seibert, Jenna LaPlante, Jessica Austin, Jianxing Lu, Jim O’Keeffe, Jin Huang, Joe Heyward, Johannes Welbl, John Jumper, Jonathan Caton, Josh Woodward, Joshua Foster, Kathryn Tunyasuvunakool, Katrina Wong, Kavya Kopparapu, Kelvin Nguyen, Kira Yin, Konstantin Sharlaimov, Kun Li, Lee Hong, Lilly Taylor, Longfei Shen, Luc Mercier, Maciej Mikuła, Mania Abdi, Manuel Sanchez, Maria Ines Aranguren, Mario Carlos Cortes III, Matthew Tait, Matthias Lochbrunner, Mehdi Ghissassi, Micah Mosley, Michael Bendersky, Michael Figurnov, Michael Harris, Michael Mathieu, Michael O’Neill, Michael Vorburger, Mihir Paradkar, Nandita Dukkipati, Nathan Carter, Nathan Watson, Neil Rabinowitz, Nikhil Dandekar, Nishant Ranka, Obaid Sarvana, Olcan Sercinoglu, Olivier Lacombe, Ottavia Bertolli, Paul Caron, Pranesh Srinivasan, Praveen Kumar, Rahul Sukthankar, Raia Hadsell, Rajagopal Ananthanarayanan, Roberto Lupi, Rosie Zou, Sachin Menezes, Sadegh Jazayeri, Sam Cheung, Sameer Bidichandani, Sania Alex, Sanjiv Kumar, Sara Wiltberger, Sarah Fitzgerald, Saz Basu, Sebastian Nowozin, Shannon Hepburn, Shayne Cardwell, Sissie Hsiao, Srinivasan Venkatachary, Sugato Basu, Sundar Pichai, Sundeep Tirumalareddy, Susannah Young, Swetha Vijayaraghavan, Tania Bedrax-Weiss, Taylor Applebaum, Teiva Harsanyi, Terry Chen, Tim Blyth, Ting Liu, Tom Cobley, Tomas Izo, Trystan Upstill, Varun Singhai, Vedrana Klarić Trupčević, Victor Cai, Vladimir Pudovkin, Vu Dang, Wenbo Zhao, Wesley Crow, Wesley Szeng, Xiaodan Song, Yazhou Zu, Ye Tian, Yicong Wang, Yixing Wang, Yossi Matias, Yunlong Jiao, Zachary Jessup, Zhenchuan Pang, Žiga Avsec, Zimeng Yang, and Zoubin Ghahramani. We’d also like to recognize the AlphaCode team, the Borg Scheduling team, the Facilities team, the Gemini Demo Team, the Global Server Ops (GSO) team, the JAX team, the the Legal team, ML SRE team, the ML Supercomputer (MLSC) team, the PartIR team, the Platforms Infrastructure Engineering (PIE) team, and the XLA Compiler team. We thank everyone at Google not explicitly mentioned above, who have shared excitement, given feedback on early Gemini models or created interesting demo uses of Gemini, and worked with or supported the core Gemini team on many aspects of this project.

Gemini -  A Family of Highly Capable Multimodal Models: Contributions and Acknowledgments

“A wise ninja does not seek out an enemy who he does not fully understand." - Splinter from Teenage Mutant Ninja Turtles As a technical writer passionate about science fiction, one of the most exciting parts of my job at Sonatype is when I have the opportunity to collaborate with the security research team. Ever since we found that correspond to what we call RAT mutants—novel malware that leverages the capabilities of remote access trojans and information stealers—our security researchers have had a nagging sense of déjà vu. a series of Python packages last month It’s not a rare occurrence: they constantly assess hundreds of suspicious packages from open-source registries to determine if they’re truly malicious. During this procedure, they identify familiar patterns between the packages, and sometimes, upon recognizing strong similarities, they conduct further research to track down the actor/campaign behind them. Between the last week of 2022 and the beginning of 2023, our AI system flagged suspicious packages uploaded to the PyPI registry including and . Our security researchers looked at them and confirmed they were indeed malicious. And after further analysis, they noticed these packages added a series of features not often seen in Python malware. pyrologin , easytimestamp , discorder , discord-dev , style.py , pythonstyles In what has become a de facto strategy, bad actors hide a payload in the file so developers only have to use a simple pip install to get infected. In this case, they’d be inadvertently launching a PowerShell script that downloads a ZIP file to install libraries that let the attacker control the victim’s mouse, the keyboard, take screenshots, and create hidden remote connections. And on top of that, these packages also exfiltrate sensitive information like passwords, cookies, and cryptocurrency wallet data, and even try to install a tool for remote access. Our findings were in line with of the very same packages. setup[.]py Phylum’s technical report Nevertheless, security researcher Carlos Fernandez was having a haunting sense of déjà vu. During the week after we disclosed the packages, memories of having seen earlier versions of this malware flashed through his mind. A threat actor might have been evolving their malware through time, but we needed to make sure, so I put my OSINT hat on to help him see if there was any truth to his intuition. The Origin Story Looking back on our database, on September 25, 2022, a package called was uploaded to the PyPI repository. Our AI flagged it as suspicious and our security researchers confirmed that it contained malware and that it bundled the sources of another package called . Both libraries were authored by , aka BillyTheGoat, aka BillyV3 (with contributions from loTus04 and BlueRed). This author from France (at least that’s what his location in GitHub and the language spoken through his Discord channels suggest) is credited as the person behind , a Python obfuscator that we’ve found often in recently uploaded malware, as well as one of the creators of , an information stealer that’s been active since July in an to open registries. pygradient pystyle billythegoat356 Hyperion W4SP stealer ongoing supply chain attack W4SP stealer boasts persistency (it gets reactivated every time users restart the PC), obfuscation (the author promises it’s fully undetectable), and steganography techniques to hide polymorphic and highly-obfuscated payloads within an image file. The malware sends all the victim’s Discord accounts, credit cards, passwords, and crypto-wallets back to the attacker through a hard-coded Discord webhook address. Bad actors interested in this malware have purchased it by paying about 20 USD in crypto. Originally, did not have a malicious nature—a harmless package to style and color console output to enhance readability and user experience. But according to Phylum research, once it became popular (the package is still active on PyPI and it accumulates more than 40,000 downloads every month), they decided to add W4SP malware in a couple of releases. pystyle Open-source packages like can act as sleeper agents for months only to be activated later by their own author for malicious purposes. A risky move, since their popular package can be discovered by security researchers like us who’ll report it as malicious and have it be taken down forever. That’s why they often create new packages instead where they include the source code of an innocuous library, add some type of malicious payload, and upload it under a new name: something generic, benign-sounding, innocent-looking. A name such as . pystyle pygradient After taking a closer look with Carlos, we found this proto-RAT mutant malware lacked some of the features of the December versions: even though it also launched a PowerShell script and exfiltrated sensitive data, it didn’t use base64 encoded payloads or an allowlist txt file to avoid self-infection. In a way, it was a milder, less sophisticated variant. But then we looked at early-November uploaded packages, including , , and , and after diving deeper, we found confirmation of our suspicion: the malware was truly evolving. paintpy devicespoof devicespoofer A Copycat Chasing Malware Even though BillyTheGoat hasn’t been active on GitHub since November, we’re still finding malware that’s based on his creations or stealing directly from them, mostly by a user that’s apparently based in Portugal called . zeeckt This user uploaded a recently removed package in PyPI called , falsely credited to BillyTheGoat in what looked like —a technique to increase the reputation of their new package by linking it to a popular GitHub library, thus getting associated with its hundreds of stars and forks. pystilez StartJacking Checkmarx this bad actor after finding a W4SP attack in a package called (along with similarly-named variations) that included a Discord server link within their malicious code. The administrator profile linked to a verified Steam account and the name “zeeckt” appeared as one of the attacker’s Steam aliases. has been tracking apicolor also reported that this threat actor was creating fake users by copying the profiles of popular GitHub accounts to increase legitimacy. And one of their victims decided to create warning people about this attack after falling for one of their fake profiles. Check Point a YouTube video A security researcher posted one of zeeckt’s payloads for educational purposes and he received an interesting reply from the co-author of W4SP stealer: How ironic for your stealer to be stolen. The same author, apparently a 17-year-old Python developer, reiterates his frustration in a README file on his GitHub profile: We don’t know exactly what malicious code zeeckt has stolen from other bad actors, but one thing is certain: that name continues to pop up in malware campaigns across open-source registries. Sneakier Variants Gnaw Away at Your Crypto Wealth Carlos recently found four more packages by : , and . After further investigation, he tagged them as malicious and reported them to PyPI to be taken down. The fastest case took about 20 minutes from publication to deletion. zeeckt forenitq forenith , forenity forenitz Looking at in Carlos found the following first-stage payload: setup[.]py forenitq , The attacker creates three temporary files that download and execute Windows binaries from specific URLs using the "start" command. Even though the slugs and are suggestive of malicious intent, we couldn’t confirm that assumption without looking under the hood. /rat /clip At the time of this writing, the page hosted at is still active and it only shows a link to a Discord invite that’s already expired or private. hxxp://20[.]226[.]18[.]203 Carlos noticed that the package was posing as the popular package, using their metadata for a possible StarJacking attempt. Colorama After deobfuscating the RAT file, he found a line that loads a possible clipboard hijacker, but the specifics of it were base64 encoded: Upon decoding, we get a Python code designed to hijack a victim's clipboard to replace the intended cryptocurrency wallet address with the attacker's address: It looks for specified patterns like (bc1), (0x), Monero (4), and l (L or M or 3), and when a pattern is found, it replaces the intended address with the attacker's cryptocurrency wallet address. bitcoin Ethereum itecoin The code uses the library to copy and paste clipboard data. It will install the library if it’s not already installed and then copy the cryptocurrency wallet address to the clipboard. The code is then set on a continuous loop to monitor the clipboard for wallet address patterns. pyperclip Additionally, we uncovered more techniques this RAT mutant uses to evade detection: a first-stage payload added to the file instead of and a second-stage polymorphic payload that changes every time you run the binary. forenitq/ansi[.]py setup[.]py The attacker also added a new command and control with a very complete help menu—and this time se fala português: As you can see, malicious actors are eager to steal your crypto funds and system credentials to further penetrate your infrastructure. Their RAT malware keeps mutating to be more evasive and damaging to developers. So, if you're not safeguarding your software supply chain today, consider taking action to do so as soon as possible. IOCs (Indicators of Compromise) hxxp://20[.]226[.]18[.]203/inject/tCxFLYLT6ViY9ZnP hxxp://20[.]226[.]18[.]203/clip hxxp://20[.]226[.]18[.]203/rat

How RAT Mutants, in Python, Steal Data and Evade Detection

কিভাবে RAT মিউট্যান্ট, পাইথনে, ডেটা চুরি করে এবং সনাক্তকরণ এড়িয়ে যায়

Wie RAT-Mutanten in Python Daten stehlen und sich der Erkennung entziehen

Cómo los mutantes RAT, en Python, roban datos y evaden la detección

Comment les mutants RAT, en Python, volent des données et évitent la détection

पायथन में आरएटी म्यूटेंट कैसे डेटा चोरी करते हैं और जांच से बचते हैं

RATミュータントがPythonでデータを盗み、検出を回避する方法

Python에서 RAT 돌연변이가 데이터를 훔치고 탐지를 회피하는 방법

Como os mutantes RAT, em Python, roubam dados e evitam a detecção

Python'da RAT Mutantları Verileri Nasıl Çalıyor ve Tespitten Nasıl Kaçıyor?

Cách RAT Mutants, trong Python, đánh cắp dữ liệu và trốn tránh sự phát hiện

RAT 突变体如何在 Python 中窃取数据并逃避检测

We all are fortunate to observe the transition from Web2 to Web3 and a change in the paradigm of interaction on the Internet. Company founders, brand managers, marketers and everyone who creates product value now have new approaches to interacting with audiences and building new connections. My name is . I’m the Head of Brand Marketing and Product Marketing Manager and have worked with classic brands and blockchain products. With this article, I want to compare Web2 and Web3 marketing — what is changing and how to work with it. Daria Volkova So, follow me, and I hope this long read will help you to implement new knowledge in practice. Web2 Marketing = Performance Marketing+Sales In the promotion of Web2 products, the tools of performance marketing are most often used. Performance marketing makes all work together, maximizing effectiveness. This approach’s main principles and goals are the return on marketing investments and the increase in sales. advertising channels Features of performance marketing: measurability of the effectiveness of the channels used; assessment of business indicators (CPA, ROI, CAC, LTV); the ability to influence the performance in real-time; synchronization of SEO, SMM, email marketing, and media advertising to achieve results. Performance campaign is measured and tracked using referral links, coupon codes, and individual phone numbers. This method requires extensive setup and careful testing. So, Web2 marketing is focused on paid advertising performance indicators and branding, but PR and ideological components were rarely included in the marketing and sales flow. In most cases, all these directions went in parallel, which is incorrect because it is much more logical to build a system on an ideological basis, combining brand, marketing and sales goals in the strategy. More advanced Web2 marketing came to be called when technology was used to achieve results. For example, Account-Based Marketing, or Big Data tools, help to make a personalized advertising experience for a specific person. Growth Marketing Technologies at the core of Web3 marketing Decentralized technologies, such as blockchain, AI and IoT set Web3 marketing apart from Web2. Blockchain gives the power to tokenize assets, put information on a chain, create a digital identity, and do many projects. Artificial intelligence and the Internet of Things enable brands to be closer to their potential consumers while not directly selling something but adapting to people's lifestyles. The development of the IoT enables more and more devices to connect to the Internet, which means that the need for a decentralized data processing platform is increasing. Web3 marketing is well-positioned to utilize this trend because it can leverage these technologies. In addition to cutting-edge technologies, Web3 marketing is characterized by great attention to growth marketing, PR and community development. I highlighted several main differences between the marketing of Web2 and Web3 projects. To begin with, let’s consider the ideological framework, namely the companies’ mission, values and principles. Ideology & Storytelling in Web3 In the era of Web2, companies often push ideology and storytelling to the background because the conversion indicators of digital advertising came to the fore. Many products were launched to make a quick buck, not to create additional value and emotional customer experience. This approach has never been close to me because I believe meaning and actual value will bring more to the company than direct advertising. To be an outstanding project, you must create and develop a . It should be revealed in the logo, font style, visual design, external communication strategy, and all words and actions of the company. Genuinely successful projects are always based on ideology, values and an understanding of their otherness. unique brand based on a system of values and personalized unique experiences One of my favorite brands is . Their ideological and visual components are so thought out and successfully combined that it gives me a braingasm. Ethereum is like a guide to the decentralized future that everyone can build on the Ethereum blockchain. Ethereum I strongly advise you to study all the components of the Ethereum brand because this is an excellent example. style guide Decentralization and digital economies are the essences of Web3 because they created on the net. The Web3 space is inherently , and anything that contrasts that ethos may be treated as a red flag. Web3 is changing the way of interaction between individuals and companies, pushing values and principles to the front line. allow us to place value on the content open-source The values should be such that you can build a solid foundation on their basis and attract future team members. Also, values will help you in the stage of creating your brand story, so don’t skip this critical part. is essential to humankind — it is how we share experiences, knowledge, and wisdom. It is also because it is how audiences are captivated. Storytelling crucial for branding and reputation Web3 platforms like allow storytellers, publishers, production houses, and NFT projects to publish, manage and distribute multimedia literary content on the blockchain without requiring specific technical knowledge. The number of such interactive platforms will constantly increase. Readl Make PR & Creative great again! Many Web2 companies perceive , which should help sales managers sell more. But this direction is rarely a priority unless the product belongs to the categories of fashion, art, breakthrough startups or something that needs to create news constantly. PR and creative promotion as optional In contrast, PR and the creative component are essential for promoting web3 products. Most projects are startups, meaning from venture funds like a16z, Outlier Ventures, Pantera Capital, and others. Funds, in turn, have minimal time to get to know the team. if they have already heard about you and read about your project in trusted media such as Bloomberg, Coindesk, Cointelegraph, and others. they must attract investments It is much easier to establish contact with investors Also, PR is needed to because we can invest in a project we trust and want to support. Unlike Web2 products, you can become an investor only by purchasing shares of a public company. attract individual investors Time and money spent on PR and communication accelerate the process of decision-making about the support of your project by investors. Web3 gave birth to such phenomena as . (like DOGE or SHIB) are meme-inspired cryptocurrencies. They tend to be compared to major cryptocurrencies like bitcoin (BTC) and ether (ETH). This is likely because meme coins are heavily community-driven tokens., and social media and online community sentiments usually influence their prices. memes coins and fan tokens Meme coins highly volatile are dedicated to favorite sports teams and help them to be a part of the fan community. For example, Binance sponsors the BWT Alpine team in F1. The Alpine team has its fan token, and this token allows fans to donate directly to the team. Also, can access gamification and various goodies. Fan tokens on Binance, owners of ALPINE tokens Tokenomics of meme tokens or fan tokens is entirely dependent on PR. From a creative point of view, Web3 projects have more technological tools for creating campaigns and engaging users or developers than classic businesses. For example, metaverses provide an opportunity to gamify the user experience and make it rich in emotions. In Web3, the level of personalization increases due to the use of algorithms. unique NFT or Artificial Intelligence Web2 companies are now actively using Web3 tools to demonstrate their Many big brands already have blockchain&crypto teams looking for new ways to technological prowess and be in the mainstream. promote the brand and adapt it to the new Web3 reality. Confirmation of the importance of creativity in the marketing of web3 products is who have experience working with advertising and launching creative campaigns. Companies are ready to play the long game and apply tools to create an additional . the growth of vacancies for creative directors and brand marketers emotional attachment to the brand Social networks: for sales or growth? Web2 can be called the period of birth and development of social networks. Facebook, Instagram, Twitter, TikTok, Reddit, YouTube and many others , where each user not only consumes but also creates content, becoming an independent media. spent interacting with the platform and creators have turned the forums of the Web1 era into interactive content Disneyland Attention and time became the main currency. Social networks gave marketers the tools of , which became a game-changing feature at one time. People enthusiastically filled out their profiles, showing the algorithms detailed information about their careers, interests, hobbies, relationships, and favorite foods. Algorithms allow marketers to targeted advertising target advertising messages to specific audiences. With the introduction of the , targeted advertising has become less effective and can no longer clearly distinguish audiences by gender or age criteria. GDPR policy Targeted advertising is replaced by . Account-based marketing, often known as ABM, is a strategy for targeted business expansion in which the marketing and sales departments work together to provide for a predetermined group of high-value clients. ABM is more used in the , where the contract can be discussed for a long time and extremely important warm contacts. account-based marketing individualized purchasing environments B2B direction But Web3 has a slightly different approach to social networks. Social networks friendly to blockchain projects are Also, decentralized social networks on the blockchain are , for example, Twitter, Discord, Telegram, Reddit, and Steemit. actively developing Bluesky Social, Amino, CounterSocial or Mastodon. The other day, news broke that Waze CEO is launching his own decentralized social network . Post will allow you to write and share “posts of any length,” as well as chat and tip content creators. They want to return social networks to their original meaning — to inform people. Post The question of social networks smoothly leads us to build a community. Community building and engagement Web2 marketing strategies usually do not try to build communities because this will not bring significant benefits in promoting the product. When marketing a Web3 project, you must look beyond conventional methods to attract potential users. As than in Web2, lead journeys will evolve accordingly. community takes on greater importance in Web3 First, you must talk with your community members in the A cult-like identity that expresses itself through memes, specialized lingos like WAGMI, odd-looking profile pictures like the BAYC, and a deep longing for “moon” trips. Those elements constitute the unique web3 culture. same language and create a unique inner culture. To boost your chances of getting accepted, you can assist them in carrying out in-depth research about your project by: Consistently engaging them with updates on behind-the-scenes activities. Announcement of project development progress. Getting the community involved in the decision-making about key features or events. Giving them rewards (tokens, branded merch, invitations) for minting NFT or launching your testnet. Making content about your team members. Leaving no questions unanswered and respectfully entertaining feedback. Setting clear goals and objectives from the beginning and being upfront in fulfilling them. Painstakingly explain via long-form articles, interviews, or videos when any critical or unexpected decision is taken. There is a good platform for community reward  — . They are building the most powerful to and You can use it or similar to make your community building easier. Crew3 medium understand, activate grow tokenized communities. Also, creating comics or memes or encouraging community members to create content about your project is a good idea. For example, here is a screenshot from The Comicverse: Or — an informal and adorable symbol of . zkSync community is growing very fast because of the excellent product idea, good PR and very professional actions of the community managers, who know how to constantly warm people's interest. Zeek Cat zkSync Developer Relations Marketing is more relevant than ever Web3 requires . Partnerships and collaborations and the development of relationships with developers who test and implement the technology usually come to the fore. new approaches to scaling is the marketing technique used to ensure that one’s company, products, and developers establish deep, continuous relationships with external developers through mutual communication. According to , the global developer population is expected to reach , an increase of 3.2 million from the number seen in 2020. Developer Relation (DevRel) Statista 28.7 million people by 2024 Developing a blockchain product is impossible without building relationships with developers who will implement the technology and make other products based on it. The most popular blockchains on which most products are made are Ethereum, Polygon, BNB Chain, and Solana. For developers to create products based on the technology, the company must establish a warm relationship with them and encourage them. To do this, DevRel marketers hold meetups and hackathons, educational and entertaining webinars, prepare user-friendly technical documentation, give away merch and much more. A DevRel program may comprise a framework built around some or all of the following aspects: : Outreach and engagement activities to create awareness and convert developers to use a product. Developer Marketing : Product documentation and education resources to aid learning and build affinity with a product and community. Developer Education : Resources like a developer portal, product, and documentation, to activate the developer with the least friction. Developer Experience (DX) : Activities to nurture and retain developers as they build and scale with a product. Developer Success : Nourishes a community to maintain a sustainable program. Community This is a long-time game, and the interaction process is similar to the . That’s why if you want to make your product interesting for developers’ teams, you have to sell it by demonstrating marketing of B2B projects technological and business advantages. Let me know your partner, and I'll tell you who you are—the power of mutual promotion. Marketers of Web2 and Web3 projects love because this is an at the expense of another company and show your product from a new angle. However, partnerships in Web3 are built , and this, in turn, can be the beginning of building an ecosystem. partnerships excellent opportunity to increase your audience not only on ideological compatibility but also on technological compatibility So, before you offer other projects to become your partner and exchange audiences, you should make sure that you are in order with the following: The technical side of the product is excellent, and there, and there have been no reputational losses or were settled by competent communication. Your brand is consistent in terms of mission and vision, as reasonably as it is visually attractive, and the design does not contradict the company's essence. You have the resources to maintain communication at the right level for a long time. You know how to scale the project and grow the community. I like how partners with various blockchain projects. They collaborated with very trusted and well-known blockchain and fintech projects, which increases their visibility and works well to attract a new audience of developers and users. 1inch Also, is once again proving its readiness for large partnerships from the point of view of technology and brand. Almost every week, the CEO of publishes on Linkedin announcements of new partnerships with world-famous brands. Polygon Studios is the team that develops the Polygon ecosystem through various products. In September, they partnered with Starbucks, then collaborated with J.P. Morgan, later a partnership with The Walt Disney Company and announced opportunities to create your own . And in November, the announcement of a , where Polygon will launch an NFT platform for selling virtual clothes. Polygon Polygon Studios NFTs on Facebook and Instagram collaboration with Nike Data collection and ownership in Web2 and Web3 FAANG and other corporations know a lot about users, which cannot be not alarming. Web2 has given businesses It is interesting that Apple caught society’s trend to reduce data transmission and caused trouble for Meta (Facebook) by adding an option to refuse data transmission to applications in the new version of the OS. Now Facebook can’t work with advertising as effectively and is missing out on billions of dollars. unlimited data to use however they want. the election by manipulating public opinion through social media, mainly through Facebook. The company had unlimited access to user data and helped a person with a dubious reputation achieve political goals. Cambridge Analytica helped Trump win Unlike data trading in Web2, the you share on the Internet. solves the issue of data collection by blocking trackers and creepy ads on every website you visit. Web3 approach involves independent control over the data Brave Browser One more project built for privacy on the Internet is . They are working on providing a currency that makes privacy approachable and easy to use while providing the strongest privacy guarantees. Not only is privacy a right, but it also leads to innovation, creativity, and safety. Also, they are working on developing an improved user experience and offering a complete end-to-end product: from the mobile phone wallet to the user’s bank account in a browser tab. Network Iron Fish All this means that in the future, . And for marketers, this means finding new ways of interaction and increasing the importance of a personalized approach to customers — not through intrusive advertising, but through value creation. people can get an individual approach and disclose only the information they want Conclusion So, I’ve outlined the main differences between Web2 and Web3 project marketing that you need to know about if you’re planning to dive into this field. I am sure that the era of Web3 will bring even more new opportunities and help marketers and brand managers to focus on emphasizing the value of technologically robust products. If you liked my article, share it on your social media and follow me on , or Twitter YouTube . LinkedIn

The crucial difference between Web2 and Web3 Marketing

Bacteria: Chapter II - BACTERIA IN WATER

For the War

por la guerra

Pour la guerre

युद्ध के लिए

戦争のために

para a guerra

Cho chiến tranh

为了战争

Is it Just Another Buzzword? Or a Building Block of CloudSec And Zero Trust? Not surprisingly, during recent meetings, customers often asked me how to manage all cybersecurity tools. According to the I am not alone. It is top of the mind of many CISOs that to fight the cyberattacks’ perfect storm: multi-cloud and remote work security. Gartner Top Security Technology Trends for 2022, a consolidated while distributed security architecture is essential It looks pretty contradictory with each layer, but it is not. Let’s consider the following service-based application as an example: AWS Lambda and Azure Functions are being used as content pages from containers in different Cloud providers, including Google Cloud Run; Cloudflare is being used as a CDN (Content Delivery Network); Developers use Okta as an Identity services provider. It is actually what customers are using nowadays. Just consider how many service providers and models are in the picture. And what’s more? It is only part of the big picture. To protect anything under these conditions stresses the existing cybersecurity architecture. Therefore, it is time for a new and better approach — Cybersecurity Mesh Architecture (CSMA) which aims to reduce the need for one specific computing environment. Everything is Decentralized (Workforce, Perimeter, Information, and More…) Because of COVID, companies accelerated their digital transformation initiatives to get ahead of the curve in a battle for existence. As a result, many companies have adopted the latest technologies to enable and encourage remote working trends. With the and remote working being the “new normal,” organizations have their assets, employees, partners, and customer base globally distributed in different locations. Thus, critical data and assets are exposed outside the traditional security perimeters, making it challenging to rely on legacy controls to protect them against advanced cyber threats. work-from-anywhere scenario The traditional technology stack is breaking down because They’re also using to adopt an that works with distributed services (key to cloud security, web3, and DevOps). more people use microservices. blockchain and other trust models information-centric security model states that new attack surfaces have opened up due to a pandemic-inspired shift to remote work. Remote workers, cloud adoption, DevSecOps, IoTs, and other parts of digital transformation . The answer to this problem is a A recent Gartner report require flexible and scalable cybersecurity strategies scalable, integrated, and automated cybersecurity mesh architecture. What is Cybersecurity Mesh Architecture (CSMA)? has specified a growing gap in interoperability between security tools. Moreover, there are wasteful overlaps in multiple devices or software— each being paid for through its own licensing. Gartner Under CSMA, each device will be introduced into the infrastructure as an integrated, carefully designed part of a consolidated security posture. Also, Gartner defines the cybersecurity mesh as a distributed architectural approach to flexible, scalable, and reliable cybersecurity control. According to the report: “ ”, below are the four fundamental layers of a CSMA: Top Security Technology Trends for 2022: Cybersecurity Mesh security analytics and intelligence consolidated dashboards distributed identity fabric consolidated policy and posture management , storing a secret key in Microsoft Azure is different from using that in AWS or Google, such as: Using key management as an example Azure Key Vault; AWS CloudHSM; Google Cloud Key; On-prem HSM appliance. (keeping the key/ secret from being exposed or unauthorized access). As a result, the same consolidated policy and posture management translate to different configurations and deployments in various form factors, i.e., distributed security controls. While each application/ service is distinct, technically and operationally, they are being used to meet a similar policy goal Similarly, consolidated policy and posture management translate abstract policy objectives to specific configurations on individual providers that benefit overall security posture. For example, developers often re-use keys to access different resources and forget to separate those from developments with productions. For example, can help ensure that all encryption key accesses are monitored and comply with corporate policy or security standards. It can also align all configurations with different providers. a cloud security posture management platform Common Languages in Cybersecurity Space To have better integration and let all the tools work together, they need to “talk” to each other. For example, we are familiar with “IOC” — Indicator of Compromise in threat intelligence sharing. However, it would not be possible if all vendors shared their own sets of indicators without standardization. As a result, CSMA also needs common languages — like open standards and common APIs to support the integration of different vendors. Below are some examples of existing common standards: IOC — STIX/ TAXII, SIGMA Threat Intelligence — OpenDXL (McAfee), SCAP v2 (NIST) Network — Netflow, IPfix Authentication — SAML, OAuth, FIDO2 Framework — MITRE ATT&CK and D3FEND, CVSS, OWASP Top 10 Threat Hunting — Yara, Snort, ZEEK Suppose we need CSMA to work in a SOC environment where cybersecurity professionals are serious about security monitoring. To make threat intelligence meaningful analytics and intelligence, we need to put together information about threats and assets. Therefore, not just the data exported from all security devices but also other data sources like identity and assets’ context information should also be standardized. We need a standard process to collect and correlate events and logs. Lastly, there is integration in every part of the data flow to have tools work seamlessly together. As security professionals, we need to keep doing what we are doing in the short term. We can do our job by using any number of products that help accomplish the four layers of CSMA (as described above). Therefore, organizations align their multi-cloud and work-from-anywhere strategies to decouple from the policy enforcement. Adopting CSMA also helps eliminate silos in the security stack, and we will see less and less “perimeter-based” security in the latter stage. How to Do it? Think As a Zero Trust Dates Back Just like the adoption of Zero Trust, practitioners who understand the advantages of the CSMA model can be on the lookout for security products that support it. The endorsement of zero trust as a plausible architectural model has changed how cybersecurity practitioners assess and audit cloud-native companies. Consider what the Zero Trust journey begins and what it becomes nowadays. The concepts supporting zero trust are not new: for his doctoral thesis on computational security at the University of Stirling. coined ZT in April 1994 Stephen Paul Marsh The complications of determining the perimeter of an organization’s IT infrastructure were highlighted , discussing the trend of what was later coined “De-Perimiterisation.” by the Jericho Forum in 2003 referred to as . In 2009, Google implemented a Zero Trust architecture BeyondCorp , an industry analyst at Forrester Research Inc, popularized the term John Kindervag “Zero Trust Network” in 2010 And now, companies and vendors have formed around the zero trust architecture. It has also driven new features and innovation in existing vendors’ product portfolios. As a result, it has driven initiatives in end-user technology organizations. Likewise, acceptance of CSMA as a feasible architectural strategy can potentially simplify architectural discussions around multi-cloud, hybrid cloud, container security, and security orchestration and response. Final Words The concept of the cybersecurity mesh assumes how widely available truly composable security services are. As a result, these solutions feature an architecture created to scale agilely . CSMA also names common frameworks for everything — from contextual and threat analytics to threat intelligence (TI), and security controls integrated via APIs. through an API-first approach According to , Gartner’s predictions “By 2024, organizations adopting a CSMA will reduce the financial impact of security incidents by an average of 90%.” A practical cybersecurity mesh architecture will demand stronger, consolidated policy management and governance. For example, it’ll be crucial to orchestrate more suitable “least-privilege” access policies, which organizations can accomplish using a centralized policy management engine with distributed enforcement. Yet, we still need some glue to help us stick all the available tools together. Luckily, with the recommendations in Gartner’s CSMA report, integration becomes possible with common cybersecurity languages — APIs and Open standards and carefully puts all the existing security stack into play. Thank you for reading. May InfoSec be with you🖖.

CSMA is More Than XDR — An Introduction to Cybersecurity Mesh Architecture

In 2021, hosted the first-ever awards!! HackerNoon Startup of the Year The goal of this campaign was to give recognition to the hardworking startups who pulled through the pandemic -- growing and thriving (despite all of the challenges). More than 44,000 startups were nominated all across the globe! They were selected from over 4,553 cities, with a total number of * cough * “4 billion” votes. Insane, right? To see who is a winner in each respective city, visit and pick a city. The name at the top of the list is the winner. (Compromised awards are under review. Cities with tie votes will be updated to have two winners!) startups.hackernoon.com The will announce the winners per region in their respective cities. Startups Winners Announcement series Here are the winners in the : Asia region Top Startup Cities in East Asia Seoul The Startup of the Year in is with 377 votes! Seoul dable Central is the Startup of the Year! It came out ahead with 121 votes. UpNow Central Sheung Wan came out as the Startup of the Year in with 154 votes. Votee Sheung Wan Tokyo The Startup of the Year in is with 41 votes! Tokyo ACES Wan Chai The Startup of the Year in is with 54 votes! Wan Chai Zetl Osaka, Japan In , is the winner! Osaka Nanophoton Taiwan came out as the Startup of the Year in ! Tico Taiwan Dongcheng, China In , is declared the Startup of the Year! Dongcheng Waiju Taipei came out as the Startup of the Year in ! Tico Taipei Akasaka In , is the winner! Akasaka WAKUWAKU Chuo In , is declared the Startup of the Year! Chuo GO-NET Ginza came out as the Startup of the Year in ! Netyear Ginza Kanazawa In , is the winner! Kanazawa Granzella Minami-aoyama In , is declared the Startup of the Year! Minami-aoyama Tokyo6 Entertainment Shibuya came out as the Startup of the Year in ! Hupro Japan Shibuya Toranomon In , is the winner! Toranomon Small Worlds Toshima In , is declared the Startup of the Year! Toshima Altplus Guangzhou, China came out as the Startup of the Year in ! Leyaoyao Guangzhou Hong Kong, Hong Kong In , is declared the Startup of the Year! Hong Kong Episode Six Kunming In , is the winner! Kunming Green A Sapporo In , is declared the Startup of the Year! Sapporo Polar Star Space Shirokanedai came out as the Startup of the Year in ! Nupp1 Shirokanedai Wuhan In , is the winner! Wuhan CSICEE Baoan, China In , is declared the Startup of the Year! Baoan Jumper Baoshan, China In , is declared the Startup of the Year! Baoshan Renren Games Chengdu, China came out as the Startup of the Year in ! Ju You Xi Chengdu Fujisawa, Japan In , is the winner! Fujisawa Scohia Pharma Fukuoka, Japan In , is declared the Startup of the Year! Fukuoka Kyulux Haidian, China came out as the Startup of the Year in ! 51vv Haidian Hongkou, China In , is the winner! Hongkou Kidstone Jiading, China In , is declared the Startup of the Year! Jiading IMRobotic Kawasaki, Japan came out as the Startup of the Year in ! QD Laser, Inc. Kawasaki Kyoto, Japan In , is declared the Startup of the Year! Kyoto Hacarus Minato, Japan In , is the winner! Minato Visionary Fun Nagoya, Japan came out as the Startup of the Year in ! Prodrone Nagoya Ningbo, China The winner in is . Ningbo OlymTech Corporation Aomori In , is declared the Startup of the Year! Aomori Forte Japan Bandai-cho In , is the winner. Bandai-cho Delta-Fly Pharm Changchun In , the Startup of the Year is . Changchun Kaidi Animation Fuchu In , is declared the Startup of the Year! Fuchu TMS Fukuoka-shi The winner in is . Fukuoka-shi SkyDisc Fukushima In , the Startup of the Year is . Fukushima Matsuri Technologies Gotanda In , is the winner. Gotanda Basset Hachioji In , is declared the Startup of the Year! Hachioji Adriakaim Harbin The winner in is J . Harbin oining Technology Iwaki In , is the winner. Iwaki Tao Engineering Izumo In , the Startup of the Year is . Izumo PuREC Kagoshima In , is declared the Startup of the Year! Kagoshima Farmers Support Kamakura In , the Startup of the Year is . Kamakura KAYAC Kami-meguro The winner in is . Kami-meguro Buzzreach Kanagawa In , is the winner. Kanagawa LoiLo Kashiwa In , the Startup of the Year is . Kashiwa Intelligent Surfaces Kita In , is declared the Startup of the Year! Kita Ax Robotix Kobe The winner in is . Kobe Coconomi Koriyama In , the Startup of the Year is . Koriyama Tocoton Kumamoto In , is the winner. Kumamoto Bloom Technology Kunitachi In , is declared the Startup of the Year! Kunitachi Trys Liaocheng The winner in is . Liaocheng Jinzheng Animation Minami In , is declared the Startup of the Year! Minami ATLAB Miyazaki In , is the winner. Miyazaki Caster Nagano In , is declared the Startup of the Year! Nagano Precision Forestry Nagaoka The winner in is . Nagaoka Plant Form Nihombashi-hamacho In , the Startup of the Year is . Nihombashi-hamacho Shizen Energy Niigata In , is declared the Startup of the Year! Niigata UniBio Japan Nishi-shinagawa In , is the winner. Nishi-shinagawa Play Heart Okayama In , is the winner! Okayama Arch Farm Okinawa In , is declared the Startup of the Year! Okinawa BlogNinja Otemachi In , the Startup of the Year is . Otemachi beBit, Inc Qingdao Shi In , is the winner! Qingdao Shi Manyoubang Quanzhou In , is declared the Startup of the Year! Quanzhou KungFu Animation Group Roppongi The winner in is . Roppongi Holo-X Saitama In , the Startup of the Year is . Saitama GameTector Sendai In , is the winner! Sendai Sendai Smart Machines Setagaya In , is declared the Startup of the Year! Setagaya Skyestate Shenzhen In , the Startup of the Year is . Shenzhen Aiator Shinjuku In , is declared the Startup of the Year! Shinjuku Scalar Shizuoka In , is the winner! Shizuoka PiPhotonics Sumida The winner in is . Sumida Holotch Tachikawa In , the Startup of the Year is . Tachikawa PlusOne Takamatsu In , is declared the Startup of the Year! Takamatsu Ken Robotec Tokushima In , is the winner! Tokushima DennoKotsu Toyonaka In , the Startup of the Year is . Toyonaka FISH BIOTECH Tsukuba In , is declared the Startup of the Year! Tsukuba WARPSPACE Wakayama In , the Startup of the Year is . Wakayama 4D Sensor Xiangzhou In , is the winner! Xiangzhou ALLiN Edutech Group Xianyang The winner in is . Xianyang TONLY Xiaoshan In , is declared the Startup of the Year! Xiaoshan GONGHUI Yamaguchi In , the Startup of the Year is . Yamaguchi Archis Yangpu The winner in is . Yangpu Tmxmall Yau Tsim Mong In , is the winner! Yau Tsim Mong Airnugget Yeoksamdong In , the Startup of the Year is . Yeoksamdong WizSchool Yichang In , is declared the Startup of the Year! Yichang Hubei Kento Electronic Yokohama In , is the winner! Yokohama Next Innovation Yubei In , the Startup of the Year is . Yubei Ophiux Network Yueqing The winner in is . Yueqing Yueqing Easythink Media Zhuhai In , is the winner! Zhuhai Aijuba Hongo In , the Startup of the Year is . Hongo Smile Robotics, Inc Admiralty In , is declared the Startup of the Year! Admiralty BUNCH Southern In , the Startup of the Year is . Southern Retykle Yongdungpo In , is the winner! Yongdungpo Push News Taichung In , is declared the Startup of the Year! Taichung Wondercise Cyberport, Hong Kong In , the Startup of the Year is . Cyberport Animoca Brands Hefei, China In , is the winner! Hefei Tsinglink New Territories, Hong Kong The winner in is . New Territories, Hong Kong Zeek Dezhou In , the Startup of the Year is . Dezhou Dezhou Baji Kitakyushu In , is declared the Startup of the Year! Kitakyushu Reif Seongnam In , is the winner! Seongnam EOFlow Yanshi In , the Startup of the Year is . Yanshi CASI Vision Top Startup Cities in South Asia Hyderabad, India The Startup of the Year in is with 962 votes Hyderabad Quixy Lahore, Pakistan is the Startup of the Year! It came out ahead with 186 votes. SmartWindows Lahore Bangalore, India When it comes to , is the Startup of the Year with 210 votes! Bangalore vBridge Hub Pune, India couldn’t be beaten for Startup of the Year in , it won with 129 votes! InfraCloud Pune Jaipur, India The Startup of the Year in is with 166 votes Jaipur Emizen Tech Lucknow, India is the Startup of the Year! It came out ahead with 279 votes. Keeros Superfoods Lucknow Noida, India came out as the Startup of the Year in with 156 votes! Bagisto Noida Mumbai, India When it comes to , is the Startup of the Year with 96 votes! Mumbai Sequretek Sylhet couldn’t be beaten for Startup of the Year in , it won with 122 votes! DataXpie Sylhet Mylapore, India In , is the winner! Mylapore Yalimart Goa, India In , the Startup of the Year is Goa Filter Coffee Delhi, India In , is declared the Startup of the Year! Delhi EkAnek Networks Karachi, Pakistan The winner in is Karachi Bykea Ahmedabad, India In , is the winner Ahmedabad MageComp Dhaka, Bangladesh The winner in is Dhaka SOLshare Islamabad, Pakistan In Islamabad, is declared the Startup of the Year! TAG Gurgaon, India In , the Startup of the Year is Gurgaon ixigo Bengaluru, India In , is the winner! Bengaluru Prakshep Private Limited Haryana, India couldn’t be beaten for Startup of the Year in ! Footprints Childcare Haryana Kolkata, India In , is the winner! Kolkata Wow! Momo New Delhi, India In , is declared the Startup of the Year! New Delhi Rusk Media Indore, India The winner in is Indore Chattar Patar Kormangala In , is the winner Kormangala Sanctum Technologies Ghaziabad came out as the Startup of the Year in Craftfurnish.com Ghaziabad! Mohali In , the Startup of the Year is Mohali DataKund Mysore The Startup of the Year in is Mysore Excelsoft Karnal came out as the Startup of the Year in ! Dunar Karnal Kolhapur In , is the winner! Kolhapur Zanvar Group Patiya In , the Startup of the Year is Patiya Kloud Project Kathmandu In , is declared the Startup of the Year! Kathmandu Vairav Technology Bangalore City, India In is the winner! Bangalore City, PagarBook Ernakulam The winner in is Ernakulam Epixel Solutions Colombo, Sri Lanka couldn’t be beaten for Startup in the Year in MAs Foods Colombo Andheri, India When it comes to , is the Startup of the Year! Andheri DoorMint Kanpur, India came out as the Startup of the Year in ! ServiceWalaa Kanpur Faisalabad In , is the winner! Faisalabad DigiKhata Nasik The Startup of the Year in is Nasik Sahyadri Farms Patna came out as the Startup of the Year in ! Asvin Tech Patna Chennai, India In , is the winner! Chennai Agnikul Cosmos Faridabad, India In , is declared the Startup of the Year! Faridabad UClean Panjim, India The winner in is Panjim TempoGO Ranchi, India In , is the winner Ranchi Osam Dairy Surat, India In , is declared the Startup of the Year! Surat Wishbook Thane, India In , is the winner! Thane Delight Foods Trivandrum, India came out as the Startup of the Year in ! GenRobotic Trivandrum Vijayawada, India In , the Startup of the Year is Vijayawada Eruvaka Technologies Visakhapatnam, India In , Ltd is declared the Startup of the Year! Visakhapatnam Greenline Labs Pvt Ahmadabad In , is the winner! Ahmadabad KiwiQA Services Bandra came out as the Startup of the Year in ! Car Club Bandra Bombay In , is the winner! Bombay Locobuddy Mobile Technology (Sportobuddy) Cochin In , the Startup of the Year is Cochin Tuttifrutti Interactive Gandhinagar In , is declared the Startup of the Year! Gandhinagar Kroop AI Guwahati In , the Startup of the Year is Guwahati GNRC Hospitals Jamshedpur In , is declared the Startup of the Year! Jamshedpur Intelliber Kabul The winner in is Kabul Miracle Shop (Vocinno Technology) Karur In , is the winner Karur Karur Vysya Bank Kochi The winner in is Kochi BestDoc Kozhikode In , is declared the Startup of the Year! Kozhikode OfficeKit HR Ludhiana In , the Startup of the Year is Ludhiana Trendy Beat Network Madhapur In , is the winner! Madhapur Head Digital Works Mangalore When it comes to , is the Startup of the Year Mangalore Hangyo Nagpur came out as the Startup of the Year in ! UPrudence Agro Nagpur Rawalpindi The Startup of the Year in is Rawalpindi Pro Options Marketing Rishikesh came out as the Startup of the Year in ! Descatuk Rishikesh Secunderabad couldn’t be beaten for Startup of the Year in Prakriti Biosystems Engineering Secunderabad Tirupur In , is the winner! Tirupur Tubeknit Fashions Udupi The winner in is Udupi Krishitantra Top Startup Cities in Southeast Asia Singapore, Singapore The Startup of the Year in is with 6556 votes! Singapore Cake DeFi Hanoi, Vietnam is the Startup of the Year! It came out ahead with 683 votes. DeFi For You Hanoi Kuala Lumpur, Malaysia came out as the Startup of the Year in with 109 votes! Trambellir Kuala Lumpur Pasig, Philippines When it comes to , . is the Startup of the Year with 110 votes! Pasig Quickreach Inc Bangkok, Thailand couldn’t be beaten for Startup in the Year in , it won with 60 votes! Perception Codes Bangkok Johor Bahru In , the Startup of the Year is . Johor Bahru AGR1 Bandung, Indonesia In , is declared the Startup of the Year! Bandung Prosa Portugal The winner in is . Portugal SCEMAI Tangerang, Indonesia In , is the winner Tangerang Yummy Corp Jakarta, Indonesia In , is the winner! Jakarta Tokocrypto Dki Jakarta, Indonesia In , is declared the Startup of the Year! Dki Jakarta Limakilo Bangkok Metropolis In , is the winner! Bangkok Meticuly Medan The winner in is ! Medan DIKA Manila, Philippines In , is declared the Startup of the Year! Manila PawnHero Phnom Penh, Cambodia In , the Startup of the Year is Phnom Penh vKirirom Bali In , is the winner! Bali Radius App Penang When it comes to , is the Startup of the Year Penang EasyParcel Surabaya came out as the Startup of the Year in ! Super Surabaya Setiabudi, Indonesia The Startup of the Year in is Setiabudi Chilibeli Cebu City came out as the Startup of the Year in MiCab Cebu City! Jawa couldn’t be beaten for Startup in the Year in DAUR Jawa Ho Chi Minh City, Vietnam In , is the winner! Ho Chi Minh City Pharmacity Selangor, Malaysia is the Startup of the Year! BabyDash Selangor Jakarta Pusat, Indonesia In , is the winner! Jakarta Pusat StickEarn Semarang When it comes to , is the Startup of the Year! Semarang Food Bear Petaling Jaya, Malaysia The winner in is . Petaling Jaya Deemples Kebayoran Baru, Indonesia couldn’t be beaten for Startup in the Year in ! Yogrt Kebayoran Baru Kuningan The winner in is . Kuningan Prinzio Bukit Merah came out as the Startup of the Year in ! DC Alliance Bukit Merah Huai Khwang In , the Startup of the Year is . Huai Khwang AppMan Co.,Ltd Kuta In , is declared the Startup of the Year! Kuta Gringgo Mandaluyong came out ahead as the Startup of the Year! Work Inspire Mandaluyong Midview City In , is the winner! Midview City BioMers Phuket The Startup of the Year in is ! Phuket Sapahn Yangon, Myanmar The winner in is . Yangon Wave Money Denpasar When it comes to , is the Startup of the Year! Denpasar Revasi Nakhon Ratchasima, Thailand The winner in is . Nakhon Ratchasima Siam Lottery co., Ltd Taguig, Philippines In , is the winner! Taguig PayMongo Bogor came out as the Startup of the Year in ! TIRANYX Bogor Senai, Malaysia won as the Startup of the Year. Nutrition Technologies Senai Bekasi Kota couldn’t be beaten for Startup in the Year in ! 8villages Bekasi Kota Top Startup Cities in Middle East Tel Aviv, Israel The Startup of the Year in is with 1,065 votes! Tel Aviv hyro Beirut, Lebanon is the Startup of the Year! It came out ahead with 1,276 votes. Hovi Digital Lab Beirut Riyadh, Saudi Arabia With 350 votes, came out as the Startup of the Year in ! Flicron Riyadh Tel Aviv-yafo, Israel When it comes to , is the Startup of the Year with 167 votes! Tel Aviv-yafo Cymbio Haifa, Israel couldn’t be beaten for Startup in the Year in , it won with 183 votes! Pico Haifa Amman, Jordan In , with 141 votes, is the winner! Amman Edexy Dubai, United Arab Emirates In , the Startup of the Year is with 74 votes. Dubai Ziina Doha, Qatar In , is declared the Startup of the Year! Doha SkipCash Tehran, Iran The winner in is . BeyondBoard AR Tehran Jerusalem, Israel In , is the winner! Jerusalem SolidBlock Rishon Le Zion The Startup of the Year in is ! Rishon Le Zion Passparto Ness Ziona, Israel is the Startup of the Year! Soapy Ness Ziona Kuwait, Kuwait came out as the Startup of the Year in ! Brapper Shop Kuwait Manama, Bahrain couldn’t be beaten for Startup in the Year in ! Doctori Manama Lod, Israel is the winner in ! Phinergy Lod Agudat Israel, Israel When it comes to is the Startup of the Year with [vote ] votes! Agudat Israel, Aqaurius Engines Beersheba, Israel In , the Startup of the Year is . Beersheba Visual Estate Ltd Giv'atayim, Israel In , is declared the Startup of the Year! Giv'atayim WSC Sports Modi'in, Israel The winner in is . Modi'in Loginno Nazareth, Israel In , is the winner! Nazareth AR Guide In Medical Ramat Gan, Israel The Startup of the Year in is . Ramat Gan Datos Health Baghdad When it comes to , is the Startup of the Year! Baghdad Mishwar Khobar In , the Startup of the Year is . Khobar Garage Misgav couldn’t be beaten for Startup in the Year in ! Eden Shield Misgav Sharjah came out as the Startup of the Year in ! Bookends Sharjah Affula In , the Startup of the Year is . Affula eMotion Technologies Bene Beraq, Israel In , is the winner Bene Beraq Reflectiz Caesarea, Israel In , the Startup of the Year is . Caesarea CardiacSense Dubayy In , is declared the Startup of the Year! Dubayy North Ladder Muscat couldn’t be beaten for Startup in the Year in ! iLab Marine Muscat Tirat Carmel In , the Startup of the Year is . Tirat Carmel PassCall Advanced Technologies Hod Hasharon, Israel The winner in is . Hod Hasharon Idomoo Holon, Israel came out ahead as the Startup of the Year! OptimalPlus Holon Jeddah, Saudi Arabia When it comes to , is the Startup of the Year! Jeddah Arabian Combustion Technologies Ramat Hasharon, Israel is the Startup of the Year! Lumen Ramat Hasharon Al Khobar came out as the Startup of the Year in ! Swyft Al Khobar Bet Shemesh In , is the winner! Bet Shemesh Degania Medical Binyamina When it comes to , is the Startup of the Year! Binyamina OncoHost Makkah In , the Startup of the Year is Makkah Scimagine Or Akiva Last but not least, couldn’t be beaten for Startup in the Year in the city of ! WMT Or Akiva More Information: If you’re a winner, please answer ! If you’re a reader, participant, just a curious individual, consider answering one of our interviews . this interview here Read the FAQs about or . Startups here here To see all of the winners you may visit , pick any city and view the name that appears at the top. this site If you’re interested in partnering with us, we invite you to look through some of these or reach out to our business department. unique sponsorship options Perhaps creating your very own tickles your fancy or maybe you have a whole new idea for how we can partner! writing contest Thank you to all of our sponsors! We truly appreciate your contribution to the tech world and thus the future! The Startups Awards are sponsored by: , , , , , , , , , , Blockster Brex FreeCodeCamp LaunchDarkly Coil Udacity Udemy Vercel Asia Pacific Transgender Network Bybit Everscale Network The post was written by Kushal Tamrakar and Valerie Ejegi, edited by Hang Ngo. If you have any questions or concerns or would like to report a discrepancy please email ellen@hackernoon.com.

Meet the Winners of Startups in Asia

Introduction The most general meaning of the word is an object used to produce or mold new objects with a high degree of uniformity. This is an old concept. A well-shaped spearhead mold meant the whole army could be supplied with spears of adequate quality. template A set of bricks’ uniformity increased the chances of a building staying intact for generations to come. It was all about efficiency over individuality. The principle of a template originated in harsh times when custom solutions were an unaffordable luxury for all but very few. Today words like uniformity and mass production get mixed reception. As technology evolved, mass production became a given. We started exaggerating its minuses and taking its pluses for granted. This is understandable. When students of prestigious universities in developed countries say they support socialism, they mean Scandinavian countries, not North Korea. When a biker says he wants a custom motorcycle, he means Orange County Choppers, not an old bicycle someone fixed a motor to. Don’t get this wrong; wanting premium custom solutions is perfectly fine. Not only are they tailored to your taste, but they also have this air of premium build that’s hard to resist. Well, they do if they were made by true masters. If someone offered you a mass-produced Harley and the aforementioned ‘custom’ motorized bicycle for the same price, what would you lean towards? Custom solutions aren’t created equal. Some are the most useful as an example of what to avoid. Takeaway 1: a custom solution must be produced by professionals, often those who have been masters of mass-produced solutions but outgrew them. There’s another issue with all things custom. The individual design drives the cost up. Orange County Choppers bikes start in the ballpark of $50k. You can find an equally dependable and brandy but mass-produced counterpart for one-fifth the price. As I said, there’s nothing wrong with a premium custom solution, except when the cost is of importance. Remember the individuality/efficiency dilemma. If you want a custom lifestyle solution, the main question is often whether or not you can afford it. If you want your website’s mechanics to work flawlessly, you might want to check if there is an existing solution on the market. Few customers care if the website’s waterworks were crafted by hand. And the ones who do will still care more about reasonable prices. Takeaway 2: a custom solution drives the cost up and is usually better in specific ways not necessarily relevant to your business. Custom solutions are for custom cases. If your case is similar to many cases before yours, see if you can stick with a mass product. But enough about bikes and bricks. You’re here to know about applications, so that’s where we’re going with this article. web Web Apps Most popular websites incorporate web applications to some extend. Web apps offer lots of interactive features, decrease security risks and make the content scalable to multiple devices without any significant increase in traffic. Furthermore, some web apps can be great substitutes for conventional desktop apps. One example is Google apps. They let you keep your text, spreadsheets, and presentations online, update them from anywhere where there’s the internet, and not have to think which copy of the file is the contemporary one. Web App Templates We’ve covered the benefits of in their most generalized meaning earlier. design is different from heavy industry, but some principles still apply. When we need lower base cost, a mass item is preferable. When we need flawless compatibility, chances are there is a suitable solution. When we need satisfied customers, chances are they’ll gladly forgive the fact that we didn’t handcraft our website’s every pixel by yourself. templates Web application Web app templates are our specialty. We could go on and on about them for hours, but this time will be best spent with you having some applicable data and examples. So, without further ado, let’s dive into the benefits of web apps and our picks of the best web app templates on the market! Web Application Benefits Web applications have various pluses, and let’s name just a few: Web applications need no installation Web applications are compliant with any devices and work seamlessly across various browsers Web apps UI are easily customizable Web apps are easy to maintain and update Examples Of Web Application Templates 1. Histogram Source: http://preview-histogram.ucraft.site/ The first template we would like to tell you about is called and, as you can see, it bears the app by which it was inspired on its sleeve. And, we are sure that you have already guessed its main purpose by this point, as Histogram is a template whose main focus is visual content. Histogram, Perfect as a portfolio app, Histogram is conveying the simple message that less is more. It is uncluttered by any unnecessary and distracting details and presents the photos in the portfolio in large boxes, which helps the viewer to concentrate on the picture itself. Due to the attractive layouts and eye-pleasing shapes, Histogram, in our opinion, is pretty successful in actually conveying its main message, so, despite initial simplicity, we strongly recommend you to pay your attention to this web app template. 2. Flatlogic Ecommerce Source: https://flatlogic.com/templates/ecommerce-react-template/demo Flatlogic Ecommerce is a perfect web app template for your online eCommerce store. Whether you build a website or a web application, the list of options available inside is more than a rich landing page, categories pages, product description pages, a for the blog, the basic support pages like , contact, etc. Thanks to NextJS, template uses server-side rendered code that makes your site SEO-friendly. CMS FAQ Flatlogic Ecommerce 3. Stylepoint Source: https://preview-stylepoint.ucraft.site/ also delves into the visual and showcases the side of the question but takes a rather different approach to it. Stylepoint And although you can say that it still utilizes such aspects as minimalism in text and monochromaticity in its backgrounds, Stylepoint makes a much greater emphasis on such details as transitions and elements while at the same time not overusing these. This makes the user focus on those details much less, but rather creates the overall sense of interconnection between each and every detail for them, making it somewhat of a stylistic trip and an experience even of itself. 4. Composer Source: http://themeforest.net/item/composer-responsive-multipurpose-highperformance-wordpress-theme/13454476 template packs in a lot in itself, as it is a compilation of over 50 ready-made gorgeous-looking demo sites to choose from and work with. Such an abundance of demos allows for Composer to cover such absurdly impressive variations of web designs and features that we could have spent an entire article just talking about them. Composer So, in the arms of a capable and crafty web app developer, such a template can become something of a constructor to work with, borrowing different interesting aspects from different demos Composer possesses and making a new worthwhile app just with them. 5. Zeen Source: http://themeforest.net/item/zeen-next-generation-magazine-wordpress-theme/22709856 If what you want to look for is ideas for news or a magazine project, then this web app template is for you. web template is kinda embodiment of minimalism, making it an exemplary modern app template. Zeen But this is not all of Zeen’s advantages, as it also carries within itself such cool features as dark mode, voice search capabilities, gradients, and compatibility with such services, as . MailChimp 6. Wunderkind Source: http://templateshub.net/template/wunderkind-one-page-parallax-personal-portfolio In stylistic regard, the web application template ticks all of the boxes of what a currently relevant project should be: it is clean, sleek, and, most importantly, ultra-smooth. From a developer’s standpoint, Wunderkind is extremely easy to tinker around with and customize, and its multipurpose capabilities are beyond your wildest dreams. Wunderkind Such features as full-screen touch-friendly sliders, video backgrounds, an abundance of gallery options, and smooth, performant parallax render Wunderkind applicable to any project of your choosing and make it unbelievably developer-friendly, as well as the fact that this web app template was based on the latest . A definite catch if you’re looking for a versatile and worthwhile template. Bootstrap 7. DashCore Source: https://themeforest.net/item/dashcore-saas-startup-software-template/22397137 is super customizable and lightweight, which is pretty easy to explain as this template is made on . We also cannot talk about DashCore without mentioning how responsive it is and how its documentation is precise, straight to the point. This one is most important for those who just started their dive into the swirling seas of , step-by-step documentation. The same beginners would appreciate the presence of the round the clock email support. DashCore WordPress app development Also, we are more than sure that such a feature would be useful not only to them but to even the most hardened app developments sea wolves, as feeling backed up is always pleasant. So, summing up this entry, use DashCore for all the developers who seek a reliable and flexible way to change web app templates for their start-up, SaaS, marketing, and social projects. 8. theNa Source: https://themeforest.net/item/thena-photography-portfolio-wordpress-theme/22953759 The feature that makes web app template stand out from the majority of other templates is its incredible horizontal-scrolling feature. Don’t get us wrong, we don’t say that it is a unique feature, but implements it tremendously and can be a definite attention attraction point and an eye-catching feature for any portfolio-oriented project. theNa theNa But portfolios are not the be-all and end-all of TheNa, as its module structure allows a handy and crafty developer to repurpose and restructure this template into absolutely anything he or she can imagine. 9. Definity Source: https://themeforest.net/item/definity-multipurpose-onemulti-page-template/12379946 Definity is precise and straight to the point, although these qualities do not prevent it from being stylish and packed to the brim with different useful stuff. Definity is unbelievably responsive, has such cool features as video backgrounds, hover effects, and parallax scrolling, and its modular design will definitely be appreciated by any developer. And thus, the Definity web app templates seamlessly take their rightful place among the other cream of the crop templates by being versatile and multipurpose. 10. Flaunt Source: http://themeforest.net/item/definity-multipurpose-onemulti-page-template/12379946 template is for all Adobe Muse enthusiasts. Especially for those who find it difficult to maneuver around its hover effects tricky to implement. Flaunt has you covered in that regard, as it bypasses Adobe Muse’s restrictions with some custom magic. Flaunt CSS But that is not all Flaunt is good for, as it is simply a fully responsive and simple template with over 50 slick cover effects for texts and images alike. 11. Enfold Source: http://themeforest.net/item/enfold-responsive-multipurpose-theme/4519990 Based on WordPress, web app template is exceptionally user-friendly and prides itself on that. In fact, Enfold was designed to be the most user-friendly WordPress web app template out there with its versatile and fully responsive theme. This template is quite fitting for business sites, online stores, and portfolios. Enfold What is also great about Enfold is its drag and drop template builder and a stack of ready-made demos, which allow you to create your own app layout swiftly and easily. Basically, an ideal web app template for those developers who do not want to spend lots and lots of time on creating greatness. 12. Maple Source: http://themeforest.net/item/maple-responsive-wordpress-blog-theme/12843046 Another WordPress template on our list is . There are not one, not two, but six reasons for you to fall in love with this web app template: Maple Maple’s design is bold and unique Maple is responsive and retina-ready Maple features both light and dark styles Maple has parallax header backgrounds Maple has multi sidebar support And, finally, Maple is unbelievably easy to use Combine those six reasons with 15 layout combinations and a handful of features and , and you have got yourself a crazy mix worth your time called Maple. widgets 13. NOHO Source: http://themeforest.net/item/noho-creative-agency-portfolio-muse-template/11174979 One more Adobe Muse web app template is called . As you can see in the picture, NOHO was designed with creative professionals in mind, so it is remarkably easy to edit in the above-mentioned Adobe Muse. NOHO What is also great about it is the presence of pre-installed desktop, tablet, and mobile versions, as well as multiple layouts, image sliders, parallax scrolling, and CSS rollover effects for developers to play around with. 14. BeTheme Source: http://themeforest.net/item/betheme-html-responsive-multipurpose-template/13925633 If you, as a developer, are more of an HTML person, then , is the one for you. That’s because BeTheme packs within itself just an astounding number of different themes – 450, to be exact. And each of them is comprehensive, flexible, and fully complete, ready to be used on any business or personal website. BeTheme So, the biggest problem you are going to have while using BeTheme is what fully responsive, retina-ready theme with parallax scrolling (and smooth one at that) to actually choose as there are so many great ones. 15. Valenti Source: http://themeforest.net/item/valenti-wordpress-hd-review-magazine-news-theme/5888961 is also a WordPress template and once again a magazine-oriented one, but quite deserving of attention in its own right. What makes Valenti so deserving is its flexibility and richness, as it boasts an impressive variety of vibrant and colorful home pages of your app, as well as being packed to the brim with different background image styles. And the parallax scrolling it possesses does no harm in that regard either. Valenti So, what we finish this list with is actually quite representative of the theme of web app templates as a whole. But more on that in the conclusion. Conclusion As you can see on the plethora of different web app templates we presented to you today, the market is bursting with different variants and options for you to choose from. And that brings nothing but good, despite the fact that initially, the perceived oversaturation with options can be quite scary. If you get to the core of the issue, such oversaturation allows you to find this one particular template that will fit your project like a glove. And with that, we wrap today’s article. Have a nice day, and, as always, feel ! free to read up on more in the blog of Flatlogic

Web Application Templates with Perfect Design in 2022

Well first of all A very HAPPY NEW YEAR Everyone. I hope that you have a great year ahead of you. Now to the main point. In this article, I am going to be sharing with you 5 Programming Languages to learn in 2022. So stick around till the end to find out. So the first one on the list is PYTHON Right now python is in the boom, mainly due to Data Science and Machine Learning. The reason being is that it is a simple Language, very similar to English. It also has a plethora of Libraries to use which makes our work easy. All this makes us feel "Man, it's great being a python user😎" Even if you are not from a CS background it is very easy to get into python. The second one on the list is C++ You can say that C++ is basically C on Zenkai boost (dragon ball reference). It is mainly used in Embedded programming, IoT, Game development and cloud computing. It is also popular among Competitive Programmers. If you are into any of these then I would suggest checking this one out. The third one is JAVA/SCALA Java is that gem that does not lose its shine. It is a very powerful language. I think it was around the 1990s that it became popular and till now it did not lose its popularity. This is mainly used in making Enterprise Applications. We use this because it is secure, powerful and easily scalable. Webservers are also made using java. Scala is used heavily on big data applications. The fourth one is JAVASCRIPT Every web developer knows the importance of javascript. HTML and CSS give the website its shape and style. Javascript gives the website its interactivity. There are other applications where it can be used. If you are interested in web Development then consider checking this one out. The Last one on the list is GO This is a coming of age language. Nowadays this is used in creating APIs with the front-end. It is also possible to use it in Cloud and network services, command-line interface, web development and much more. I would suggest taking a look at it. Do you agree with my list? Are there any other languages that should be on the list? Let me know in the comments. Also, it would be really helpful if you follow me on . I post content related to programming, self-development and Progression. LinkedIn First published here

5 Programming Languages To Kickstart your Software Development Career in 2022

Technology advancement has significantly revolutionized how we live, work, interact, and much more. The world is rapidly becoming more interconnected with the ease of information sharing possible today. Inventions such as machine learning, artificial intelligence, and cloud computing are just some of the examples of technology’s endless capabilities. As technology improves our lives, cybercrimes continue to be rampant and most people continue to wonder about their safety and that of their information. The truth is that as cybercriminals take advantage of system loopholes to cause havoc, technological advancements are working to improve the security and efficiency of our systems and lives. Here are some ways technology can make you feel safer online. 1. VPNs are securing online activity As remote working becomes a common way of modern working, most of us love the comfort of working from public spaces such as the library and coffee shops. The idea of using free Wi-Fi being more enticing in a bid to save a few coins on internet costs. Nevertheless, these networks are usually unsecured, making them enticing to malicious people as well. These people can easily eavesdrop on what is going on online, making our information vulnerable. Thankfully, the invention of VPNs can make us feel safe again. Just connect to the internet via a reliable VPN, such as NordVPN. Your VPN creates a safe tunnel for the information to pass through. It encrypts data such that no unauthorized eye can read it. (You can read this if you’d like to know more.) NordVPN review 2. Network monitoring tools are keeping attacks at bay Our organizations rely on network systems to get work done. A system failure or downtime can cause delays in processes, which can be costly to an organization. That’s why network monitoring is essential in capturing network performance problems at their initial stages. Besides that, network monitoring tools can detect a malware attack on the system and send alerts for a quick response. Other tools are designed to detect threats and take action to get rid of them. Now with a Raspberry Pi, you can create your own network monitoring sensor on a budget. You can combine a with Zeek NSM to come up with a network security monitoring tool that can help you keep your networks secure from threats. Raspberry Pi 4 3. Facial recognition and fingerprints sensor change devices access Passwords provide a traditional way of limiting access to our devices and systems. However, they are vulnerable and we must enhance security around them and keep them private. Thankfully, have brought about other safer ways to unlock our devices. For instance, many devices now are equipped with fingerprint sensors and facial recognition scans. technological advancements Besides using this on your devices, you can use the same for online banking and on smart door locks among other places. Hackers and malicious people can get a hold of your password, but they can never copy your facial features or fingerprint. 4. Smart homes enhance home safety and security Technological advancements aren’t only making our devices safer; they are also doing so for our homes too. If you are the type that forgets to lock the door or switch off electronic devices when leaving your house, you no longer have to go back and check. Now, with smart devices and smart door locks connected to a network on your phone, the safety and security of your home are just a few clicks away. You just check the condition of your home through your smartphone from anywhere in the world. The important thing is that send you alerts with video evidence of attempted break-ins, making your home feel safe in your absence. smart security systems 5. Multi-factor authentication secures online banking If malicious people get your login credentials to your online banking platform, there is no limitation of what they can do with your account. However, with multi-factor authentication, these people are stopped in their tracks and can’t get anywhere near your account. This technology requires a user to provide more than one verification factor to gain entry into an application. For instance, you can link your phone number to your account. When you provide your login credentials, a verification code is sent to your phone. You only get access to your account after you enter that code correctly. Conclusion Malicious people are always sharpening their wits to attack their unsuspecting victims. However, as illustrated above, technological advancements are changing the game; we have the tools to beat cybercriminals.  We only need to stay alert and put up the required security measures to keep our information and our lives safer. Photo by Fotis Fotopoulos on Unsplash

Technology To Make You Feel Safer Online

Python for Data Science: How to Scrape Website Data via the Internet's Top 300 APIs

I hate shopping in brick and mortar stores. However, my interest in virtual shopping is not limited to the buyer experience only. With the MobiDev Data Science department, I’ve gained experience in working on AI technologies for virtual fitting room development. The goal of this article is to describe how these systems work from the inside. How Virtual Fitting Technology Works A few years ago, the "Try before you buy" strategy was an efficient customer engagement method in outfit stores. Now, this strategy exists in the form of virtual fitting rooms. Fortune Business Insights that the virtual fitting room market size is expected to reach USD 10.00 billion by 2027. predicted To better understand the logic of virtual fitting room technology, let's review the following example. Some time ago, we had a project of Augmented Reality (AR) footwear fitting room development. The fitting room works in the following way: The input video is split into frames and processed with a deep learning model which estimates the position of a set of specific leg and feet keypoints. A 3D model of footwear is placed according to the detected keypoints to display the orientation to a user naturally. A 3D footwear model is rendered so that each frame displays realistic textures and lighting. When working with (Augmented Reality framework for Apple’s devices) we discovered that it has rendering limitations. As you can see from the video above, the tracking accuracy is too low to use it for footwear positioning. The cause of this limitation may be the maintenance of the inference speed while neglecting the tracking accuracy, which might be critical for apps working in real-time. ARKit One more issue was the poor identification of body parts by the ARKit algorithm. Since this algorithm is aimed to identify the whole body, it doesn’t detect any keypoints if the processed image contains only a part of the body. It is exactly the case of a footwear fitting room when the algorithm is supposed to process only a person's legs. The conclusion was that virtual fitting room apps might require additional functionality along with the standard AR libraries. Thus, it’s recommended to involve data scientists in developing a custom pose estimation model supposed to detect keypoints on only one or two feet in the frame and operate in real-time. Virtual Fitting Room Solutions The virtual fitting room technology market provides offerings for accessories, watches, glasses, hats, clothes, and others. Let’s review how some of these solutions work under the hood. Watches A good example of virtual watches try-on is the allowing users to try on various watches. The solution is based on the utilizing specific markers printed on a band, which should be worn on a user’s wrist in place of a watch in order to start a virtual try-on the watch. AR-Watches app ARTag technology The computer vision algorithm processes only those markers visible in the frame and identifies the camera's position in relation to them. After that, to render a 3D object correctly, the virtual camera should be placed at the same location. Overall, technology has its limits (for instance, not everybody has a printer at hand to print out the ARTag band). But if it matches the business use case, it wouldn’t be that difficult to create a product with a production-ready quality. Probably, the most important part would be to create proper 3D objects to use. Shoes and apps are a good demonstration of how AR and deep learning technologies might be applied for footwear. Wanna Kicks SneakerKit Technically, such a solution utilizes a foot pose estimation model based on deep learning. This technology may be considered for a particular case of widespread full-body models that estimate the position of selected keypoints in 3D dimension directly or through the inference of detected 2D keypoints' positions into 3D coordinates. 3D pose estimation Once positions of 3D keypoints of feet are detected, they can be utilized for creating a parametric 3D model of a human foot, and positioning & scaling of a footwear 3D model according to the geometric properties of the parametric model. Compared to the full-body/face pose estimation model, foot pose estimation still has certain challenges. The main issue is the lack of 3D annotation data required for model training. However, the optimal way to avoid this problem is to use the which supposes rendering of photorealistic 3D human feet models with key points and training a model with that data; or to use photogrammetry which supposes the reconstruction of a 3D scene from multiple 2D views to . synthetic data decrease the number of labeling needs This kind of solution is way more complicated. In order to enter the market with a ready-to-use product, it is required to collect a large enough foot keypoint dataset (either using synthetic data, photogrammetry, or a combination of both), train a customized pose estimation model (that would combine both high enough accuracy and inference speed), test its robustness in various conditions and create a foot model. We consider it a medium complexity project in terms of technologies. Glasses and companies considered AR technology for the virtual glasses try-on. The user should choose a glasses model from a virtual catalog and it is put on his/her eyes. FittingBox Ditto This solution is based on the deep learning-powered pose estimation approach utilized for facial landmarks detection, where the common annotation format includes 68 2D/3D facial landmarks. Such an annotation format allows the differentiation of face contour, nose, eyes, eyebrows, and lips with a sufficient accuracy level. The data for training the face landmark estimation model might be taken from such open-source libraries as , providing face pose estimation functionality out-of-the-box. Face Alignment In terms of technologies, this kind of solution is not that complicated, especially if using any pre-trained model as a basis for the . But it’s important to consider that low-quality cameras and poor light conditions could be limiting factors. face recognition task Surgical Masks Amidst the COVID-19 pandemic, launched the AR-based educational aimed to instruct users on how to wear surgical masks properly. Technically, this app is also based on a 3D facial landmark detection method. Like the glasses try-on app, this method allows receiving information about facial features and further mask rendering. ZapWorks app Hats Given the fact that facial landmark detection models work well, another frequently simulated AR item is hats. Everything required for correct rendering of a hat on the person’s head is the 3D coordinates of several keypoints indicating temples and the location of a forehead center. The virtual hats try-on apps have already been launched by , , and . QUYTECH Banuba Vertebrae Clothes Compared to shoes, masks, glasses, and watches, virtual try-on 3D clothes still remain a challenge. The reason is that clothes are deformed when taking the shape of a person’s body. Thus, for proper AR experience, a deep learning model should identify not only basic keypoints on the human body’s joints but also the body shape in 3D. Looking at one of the most recent deep learning models aimed to map pixels of an RGB image of a person to the 3D surface of the human body, we can find out that it’s still not quite suitable for augmented reality. DensePose The DensePose’s inference speed is not appropriate for real-time apps, and body mesh detections have insufficient accuracy for the fitting of 3D clothing items. In order to improve results, it’s required to collect more annotated data which is a time and resource-consuming task. The alternative is to use 2D clothing items and 2D people’s silhouettes. That’s what company does, giving the users a possibility to apply a number of clothing types (dresses, pants, shirts, etc.) to their photo. Zeekit Strictly speaking, the method of 2D clothes images transferring cannot be considered as Augmented Reality, since the “Reality” aspect implies the real-time operation, however, it still can provide an unusual and immersive user experience. The behind technologies comprise , , and models. The 2D clothes transferring algorithm may look as follows: Generative Adversarial Networks Human Pose Estimation Human Parsing Identification of areas in the image corresponding to the individual body parts. Detection of the position for identified body parts. Producing of a warped image of a transferred clothing Application of a warped image to the image of a person with the minimum produced artifacts Our Experiments with 2D Cloth Transfering Since there are no ready pre-trained models for the virtual dressing room we researched this field experimenting with the . The idea was to explore outputs of this model in practice for 2D cloth transferring by utilizing various approaches. ACGPN model The model was applied to people's images in constrained (samples from the training dataset, VITON) and unconstrained (any environment) conditions. In addition, we tested the limits of the model's capabilities by not only running it on custom persons' images but also using custom clothing images that were quite different from the training data. Here are examples of results we received during the research: 1. Replication of results described in the “ ” research paper, with the original data and our preprocessing models: Towards Photo-Realistic Virtual Try-On by Adaptively GeneratingPreserving↔Image Content Results: B1 - poor inpainting B2 - new clothes overlapping B3 - edge defects 2. Application of custom clothes to default person images: Results: Row A - no defects Row B - some defects to be moderated Row C - critical defects 3. Application of default clothes to the custom person images: Results: Row A - edge defects (minor) Row B - masking errors (moderate) Row C - inpainting and masking errors (critical) 4. Application of custom clothes to the custom person images: Results: Row A - best results obtained from the model Row B - many defects to be moderated Row C - most distorted results When analyzing the outputs, we discovered that virtual clothes try on still has certain limitations. The point is the training data should contain paired images of the target cloth, and people wearing this cloth. If given a real-world business scenario, it may be challenging to accomplish. The other takeaways from the research are: The ACGPN model outputs rather good results on the images of people from the training dataset. It is also true if custom clothing items are applied. The model is unstable when it comes to processing the images of people captured in varying lighting, other environmental conditions, and unusual poses. The technology for creating virtual dressing room systems for transferring 2D clothing images onto the image of the target person in the wild is not yet ready for commercial applications. However, if the conditions are static, the expected results can be much better. The main limiting factor that holds back the development of better models is the lack of diverse datasets with people captured in outdoor conditions. In conclusion, I’d say that current virtual fitting rooms work well for items related to separate body parts like head, face, feet, and arms. But talking about items where the human body requires to be fully detected, estimated, and modified, the virtual fitting is still in its infancy. However, the AI technology evolves in leaps and bounds, and the best strategy is to stay tuned and keep watching the on . latest AI trends MobiDev Written by Maksym Tatariants, Data Science Engineer at MobiDev Previously published at https://mobidev.biz/blog/ar-ai-technologies-virtual-fitting-room-development

Virtual Fitting Room Technologies To Boost Retail Sales in a Post COVID-19 World

The Best 75 Evernote Alternatives:  Complete Review

Are you looking for new hacking-themed books to read this year? Of course you are. There are tons of great options out there, whether you want to learn a new skill, advance your career or just read a gripping tale. cybersecurity hacking This list has a little bit of everything. Here are seven hacking books to read this year. 1. “Hacking: The Art of Exploitation” by Jon Erickson We’ll start this list with a must-read for beginners. This book covers everything you need to know and explains it in a way anybody can understand. It also comes with a LiveCD that you can use to try out your newfound hacking skills. “Hacking: The Art of Exploitation” covers everything from programming to network communications to machine architecture to hacking techniques. Rather than just telling you how to run exploits, it also teaches you how they work and shows you how to make your own. The included LiveCD provides you with a Linux programming and debugging environment without modifying your operating system. This allows you to follow along with the examples in the book to debug code, exploit cryptographic weaknesses, hijack network communications and invent new exploits. 2. “Ghost in the Wires: My Adventures as the World’s Most Wanted Hacker” by Kevin Mitnick With William L. Simon “Ghost in the Wires” is the story of Kevin Mitnick, one of the most famous and elusive hackers of all time. Mitnick accessed networks and computers at some of the world’s biggest companies and eluded authorities for years. This book covers his life from the time he started hacking up until his arrest shortly thereafter. This book, written by Mitnick with author William L. Simon, is engaging and suspenseful. While it doesn’t provide practical hacking tips, it does offer some insight into the mind of a highly influential hacker, social engineer and escape artist. Through his exploits, he changed the way companies protect their information. He continues to do so today as a cybersecurity consultant. 3. “Red Team: How to Succeed by Thinking Like the Enemy” by Micah Zenko If you want to learn more about red teaming, this is the book for you. Written by national security expert Micah Zenko, this book teaches what red teaming is, its history, how red teams operate, how they are used, best practices, common mistakes and more. This book offers plenty of examples based on the author’s experience working with various organizations. It doesn’t teach you technical hacking skills, but it will show you how to create and empower effective red teams. This makes it useful reading for any business leader. It’s also great if you just want to learn about red teaming to improve your understanding of the hacking and cybersecurity world in general. It demonstrates how thinking like the enemy can be beneficial in nearly any endeavor. 4. “The Hacked World Order: How Nations Fight, Trade, Maneuver, and Manipulate in the Digital Age” by Adam Segal In “The Hacked World Order,” cybersecurity expert Adam Segal explains how cyberspace is changing geopolitics — and how it may continue doing so in the future. Cybersecurity is now a matter of national security and is something that impacts nearly everybody. This book is an eye-opening, informative and at times terrifying look at this important subject. Segal shows the reader how nations can use the internet to attack, spy on, manipulate, damage and control other nations or groups. He discusses some of the most influential cyber national security events in history, details how countries are using the internet for their own ends today and explores the impact state-backed hacking initiatives could have in the future. 5. “Tribe of Hackers: Cybersecurity Advice From the Best Hackers in the World” by Marcus J. Carey and Jennifer Jin The need for cybersecurity professionals is growing rapidly, as instances of cybercrime increase. According to the authors of “Tribe of Hackers,” although there is already a cybersecurity workforce of hundreds of thousands of professionals, there’s expected to be a shortage of hundreds of thousands more in the coming years. The goal of this book is to change that. To write this book, the authors, Marcus J. Carey and Jennifer Jin, asked 70 cybersecurity leaders for career, industry and personal advice. “Tribe of Hackers” includes tips for those looking to get into the cybersecurity industry, as well as professionals who want to start their own firms. This book answer questions these people may have and gives advice on getting started. As a bonus, all proceeds from the book go to various charities, including Bunker Labs, Start-Up! Kid’s Club, Sickle Cell Disease Association of America and Rainforest Partnership. 6. “Hash Crack: Password Cracking Manual” by Joshua Picolet “Hash Crack” is an excellent introduction to password cracking. It discusses techniques that penetration testers and network security pros can use to evaluate their organization’s security posture. This book includes both basic and advanced techniques. It covers all the most popular password cracking analysis tools and methodologies, as well as tables, command and online resources. “Hash Cracks” is easy to read and gets straight to the point with practical tips you can use to boost your password security. 7. “Sandworm: A New Era of Cyberwar and the Hunt for the Kremlin’s Most Dangerous Hackers” by Andy Greenberg In 2014, the world began to experience a series of attacks that targeted governments, utilities, electric grids and private companies around the world. These attacks included the first ever blackout caused by hackers. They culminated in 2017 with NotPetya, which paralyzed some of the world’s biggest companies and caused $10 billion in damage. The hackers behind those attacks are known as Sandworm. They’re backed by the Russian military intelligence agency and are gaining a reputation as perhaps the most dangerous team of hackers in history. This book, by WIRED senior writer Andy Greenberg, covers what’s known about this group, the impacts of its attacks, and the hunt to identify and track the team’s members. It also comments on what this blurring of digital and physical conflict says about the world today. Our world is certainly changing, and hacking and cybersecurity are big drivers of many of these changes. It’s tough to keep up with everything going on in the cybersecurity world, but reading any of these books will help. These seven page-turners will inform, inspire and entertain anyone with an interest in hacking.

Stories, News & Mentions about ZEENK

Zeenk’s Stories on HackerNoon