Spectrum AIis in the Healthcare IT Industry

Spectrum AI

This post is curated by that a crowdfunding and sourcing platform for open-source projects. IssueHunt Anyone can fund any issues on GitHub and these money will be distributed to maintainers and contributors. _An issue based crowd funding/sourcing platform for open source projects._issuehunt.io IssueHunt — Boost your issue and boost your happiness 1) VuePress VuePress is a minimalistic static site generator with a Vue-powered theming system, and a default theme optimized for writing technical documentation. VuePress page has its own pre-rendered static HTML, which not only provides great loading performance but it also is SEO-friendly. GitHub: https://github.com/vuejs/vuepress 2) React React is the Facebook’s JavaScript library for building user interfaces.Following are the distinctive features of React according to its official documentation: Declarative: React makes it painless to create interactive UIs. Design simple views for each state in your application, and React will efficiently update and render just the right components when your data changes. Declarative views make your code more predictable, simpler to understand, and easier to debug. Component-Based: Build encapsulated components that manage their own state, then compose them to make complex UIs. Since component logic is written in JavaScript instead of templates, you can easily pass rich data through your app and keep state out of the DOM. Learn Once, Write Anywhere: We don’t make assumptions about the rest of your technology stack, so you can develop new features in React without rewriting existing code. React can also render on the server using Node and power mobile apps using React Native. GitHub: https://github.com/facebook/react 3) Vue Vue is a progressive framework for building user interfaces.It is designed from the ground up to be incrementally adoptable, and can easily scale between a library and a framework depending on different use cases. It consists of an approachable core library that focuses on the view layer only, and an ecosystem of supporting libraries that helps you tackle complexity in large Single-Page Applications. GitHub: https://github.com/vuejs/vue 4) Prettier Prettier is an opinionated JavaScript code formatter.It enforces a consistent style by parsing your code and re-printing it with its own rules that take the maximum line length into account, wrapping code when necessary. GitHub: https://github.com/prettier/prettier 5) Parcel Parcel is a web application bundler, differentiated by its developer experience.It offers blazing fast performance utilizing multicore processing, and requires zero configuration. GitHub: https://github.com/parcel-bundler/parcel 6) React-Spring React-spring is a set of simple, spring-physics based primitives (as in building blocks) that should cover most of your UI related animation needs once plain CSS can’t cope any longer. Forget easings, durations, timeouts and so on as you fluidly move data from one state to another.This isn’t meant to solve each and every problem but rather to give you tools flexible enough to confidently cast ideas into moving interfaces. GitHub: https://github.com/drcmda/react-spring 7) Prepack Prepack is a partial evaluator for JavaScript. Prepack rewrites a JavaScript bundle, resulting in JavaScript code that executes more efficiently.For initialization-heavy code, Prepack works best in an environment where JavaScript parsing is effectively cached. GitHub: https://github.com/facebook/prepack 8) Node Node.js is a JavaScript runtime built on Chrome’s V8 JavaScript engine. GitHub: https://github.com/nodejs/node 9) Spectrum Spectrum aims to be the best platform to build any kind of community online by combining the best of web 2.0 forums and real-time chat apps. With best-in-class moderation tooling, a single platform for all your communities, threaded conversations by default, community health monitoring (and much more to come), we think that we will be able to help more people start and grow the best online communities. GitHub: https://github.com/withspectrum/spectrum 10) Popmotion Popmotion is a functional, flexible JavaScript motion library.Almost all kinds of animations you can achieve using Popmotion. For example: Tween, spring, decay, keyframes, physics etc. GitHub: https://github.com/Popmotion/popmotion 11) AR.js AR.js is an efficient augmented reality for the web using ARToolKit.It works like charm on mobile as well (on 60fps). GitHub: https://github.com/jeromeetienne/AR.js 12) Tone.js Tone.js is a Web Audio framework for creating interactive music in the browser.The architecture of Tone.js aims to be familiar to both musicians and audio programmers looking to create web-based audio applications. On the high-level, Tone offers common DAW (digital audio workstation) features like a global transport for scheduling events and prebuilt synths and effects. For signal-processing programmers (coming from languages like Max/MSP), Tone provides a wealth of high performance, low latency building blocks and DSP modules to build your own synthesizers, effects, and complex control signals. GitHub: https://github.com/Tonejs/Tone.js 13) TensorFlow.js A WebGL accelerated, browser based JavaScript library for training and deploying ML models. GitHub: https://github.com/tensorflow/tfjs-core 14) Mark Text Mark Text is a Markdown editor for Mac, Windows, and Linux. It is a concise text editor, dedicated to improving your editing efficiency.Mark Text support CommonMark Spec and GitHub Flavored Markdown Spec.And it is a realtime preview editor, what you type is what you see finally. GitHub: https://github.com/marktext/marktext 15) Nano ID A tiny, secure, URL-friendly, unique string ID generator for JavaScript. GitHub: https://github.com/ai/nanoid 16) Draggable Get complete control over drag and drop behaviour with Draggable! Draggable abstracts native browser events into a comprehensive API to create a custom drag and drop experience. GitHub: https://github.com/Shopify/draggable 17) Reaction Commerce Reaction Commerce is an event-driven, real-time reactive commerce platform built with JavaScript (ES6).It plays nicely with npm, Docker, and React. GitHub: https://github.com/reactioncommerce/reaction 18) WhatsApp Web WhatsApp Web intends to provide a complete description and re-implementation of the WhatsApp Web API, which will eventually lead to a custom client.WhatsApp Web internally works using WebSockets; this project does as well. The architecture of Whatapp Web looks like the following: GitHub: https://github.com/sigalor/whatsapp-web-reveng 19) G2: The Grammar of Graphics in JavaScript G2 is a visualization grammar, a data-driven visual language with a high level of usability and scalability.It provides a set of grammars, takes users beyond a limited set of charts to an almost unlimited world of graphical forms.With G2, users can describe the visual appearance of a visualization just by one statement. GitHub: https://github.com/antvis/g2 20) Greenlet Move an async function into its own thread. A simplified single-function version of workerize. GitHub: https://github.com/developit/greenlet 21) Stimulus Stimulus is a JavaScript framework with modest ambitions.It doesn’t seek to take over your entire front-end — in fact, it’s not concerned with rendering HTML at all.Instead, it’s designed to augment your HTML with just enough behavior to make it shine.Stimulus pairs beautifully with Turbolinks to provide a complete solution for fast, compelling applications with a minimal amount of effort. GitHub: https://github.com/stimulusjs/stimulus 22) Oni Oni is a new kind of editor, focused on maximizing productivity — combining_modal editing_with features you expect in modern editors. Oni is built with , and inspired by , , , and neovim VSCode Atom LightTable Emacs The vision of Oni is to build an editor that allows you to go from _thought to code_as easily as possible — bringing together the raw editing power of Vim, the feature capabilities of Atom/VSCode, and a powerful and intuitive extensibility model — wrapped up in a beautiful package. GitHub: https://github.com/onivim/oni 23) Workbox Workbox is a collection of JavaScript libraries for Offline Caching and Offline Analytics. GitHub: https://github.com/GoogleChrome/workbox 24) Luxon Want to work with dates and times in JavaScript?Luxon is a library for working with dates and times in Javascript. GitHub: https://github.com/moment/luxon 25) slate-md-editor A markdown editor, that allows you to edit live. This project is built on top of . Support markdown syntax and hot keys. slate framework GitHub: https://github.com/Canner/slate-md-editor 26) Puppeteer Puppeteer is used to generate screenshots and PDFs of pages, crawl a SPA and generate pre-rendered content (i.e. “SSR”), automate form submission, UI testing, keyboard input, etc., and create an up-to-date, automated testing environment. GitHub: https://github.com/GoogleChrome/puppeteer 27) SheetJS SheetJS is the parser and writer for various spreadsheet formats. Pure-JS cleanroom implementation from official specifications, related documents, and test files. Emphasis on parsing and writing robustness, cross-format feature compatibility with a unified JS representation, and ES3/ES5 browser compatibility back to IE6. GitHub: https://github.com/SheetJS/js-xlsx 28) Remote Browser Remote Browser is a library for controlling web browsers like Chrome and Firefox programmatically using JavaScript.You’ve likely heard of similar browser automation frameworks before, such as and . Puppeteer Selenium Much like these other projects, Remote Browser can be used to accomplish a wide variety of tasks relating to UI testing, Server Side Rendering (SSR), and web scraping. What makes Remote Browser different from these other libraries is that it’s built using standard cross-browser compatible technologies, and its primary goal is to facilitate interactions with existing APIs rather than to create a new one of its own. GitHub: https://github.com/intoli/remote-browser 29) JS Paint A nice web-based MS Paint remake and more. GitHub: https://github.com/1j01/jspaint 30) Lozad.js Highly performant, light and configurable lazy loader in pure JS with no dependencies for images, iframes and more, using IntersectionObserver API. GitHub: https://github.com/ApoorvSaxena/lozad.js 31) Rough.js Rough.js is a light weight (9kB) graphics library that lets you draw in a sketchy, hand-drawn-like, style. The library defines primitives to draw lines, curves, arcs, polygons, circles, and ellipses. It also supports drawing . SVG paths GitHub: https://github.com/pshihn/rough 32) D3: Data-Driven Documents D3 (or D3.js) is a JavaScript library for visualizing data using web standards.D3 helps you bring data to life using SVG, Canvas and HTML. D3 combines powerful visualization and interaction techniques with a data-driven approach to DOM manipulation, giving you the full capabilities of modern browsers and the freedom to design the right visual interface for your data. GitHub: https://github.com/d3/d3 33) Quokka.js Quokka.js is a rapid prototyping playground for JavaScript and TypeScript.It runs your code immediately as you type and displays various execution results in your code editor. GitHub: https://github.com/wallabyjs/quokka 34) Rythm.js A javascript library that makes your page dance. GitHub: https://github.com/Okazari/Rythm.js 35) Webpack Monitor Webpack Monitor is a configurable Webpack plugin that captures relevant statistics on your production builds, and an interactive analysis tool that helps developers better understand bundle composition and identify and prioritize optimization strategies. GitHub: https://github.com/webpackmonitor/webpackmonitor 36) Webamp A reimplementation of Winamp 2.9 in HTML5 and JavaScript. GitHub: https://github.com/captbaritone/webamp 37) jsvu _jsvu_is the JavaScript (engine) Version Updater. GitHub: https://github.com/GoogleChromeLabs/jsvu 38) Amplitude.js Amplitude.js is a lightweight JavaScript library that allows you to control the design of your media controls in your webpage — not the browser.No dependencies (jQuery not required). GitHub: https://github.com/521dimensions/amplitudejs 39) Consola Elegant console logger. It is easy to use. It gives fancy output with Fallback for Continuous Integration (CI) environments. GitHub: https://github.com/nuxt/consola 40) Superstruct A simple and composable way to validate data in JavaScript. GitHub: https://github.com/ianstormtaylor/superstruct 41) JSNES A JavaScript NES emulator.It’s a library that works in both the browser and Node.js. GitHub: https://github.com/bfirsh/jsnes 42) Workerize Moves a module into a Web Worker, automatically reflecting exported functions as asynchronous proxies. GitHub: https://github.com/developit/workerize 43) Glide Glide.js is a dependency-free JavaScript ES6 slider and carousel. It’s lightweight, flexible and fast. Designed to slide. GitHub: https://github.com/glidejs/glide 44) scrollama.js Scrollama is a modern & lightweight JavaScript library for scrollytelling using IntersectionObserver in favor of scroll events. GitHub: https://github.com/russellgoldenberg/scrollama 45) Buttercup Cross-platform, free and open-source password manager based on NodeJS. GitHub: https://github.com/buttercup/buttercup-desktop 46) JARVIS J.A.R.V.I.S. (Just A Rather Very Intelligent System) will put in your browser all the relevant information you need from your webpack build whether in dev or in prod. GitHub: https://github.com/zouhir/jarvis 47) Bottender Make Bots in Your Way, Fast and Flexibly. GitHub: https://github.com/Yoctol/bottender 48) luma luma provides easy-to-use WebGL2-based building blocks enabling high-performance GPU-based data visualization and computation in your browser. GitHub: https://github.com/uber/luma.gl 49) Spacetime A simple way to manipulate, compare, and format dates and times across the Earth. GitHub: https://github.com/spencermountain/spacetime 50) MapTalks.js A light JavaScript library to create integrated 2D/3D maps. GitHub: https://github.com/maptalks/maptalks.js This post is curated by that a crowdfunding and sourcing platform for open-source projects. IssueHunt Anyone can fund any issues on GitHub and these money will be distributed to maintainers and contributors. _An issue based crowd funding/sourcing platform for open source projects._issuehunt.io IssueHunt — Boost your issue and boost your happiness

50 popular JavaScript open-source projects on GitHub in 2018

In the rapidly evolving AI landscape, the focus has long been on technological advancements and breakthroughs ( , anyone?). We want AIs that think like humans, and we want them now, damn it. However, this relentless pursuit of innovation often overlooks a critical aspect: . e/acc the environmental impact As Gen. AI tools like chatGPT , their energy consumption and carbon footprint have emerged as pressing issues. Between 2017 and 2021, the electricity used by major cloud computing providers like Meta, Amazon, Microsoft, and Google , . become increasingly integral to our daily lives more than doubled contributing significantly to greenhouse gas emissions This sets the stage for a new study on the matter, titled “ ” (great title), and written by , (Both Hugging Face employees), and (of Carnegie Mellon University & Allen Institute for AI). Power Hungry Processing: Watts Driving the Cost of AI Deployment? Sasha Luccioni Yacine Jernite Emma Strubell The paper offers an in-depth analysis of the energy consumption and carbon emissions associated with AI, specifically during the model (i.e., deployment/public use) phase. The authors compared the environmental costs of both task-specific (fine-tuned for single tasks) and multi-purpose (trained for multiple tasks) AI models. Their methodology included testing 88 models across ten different tasks using various datasets and measuring the energy required and carbon emitted for 1000 inferences. inference In short, the study finds that multi-purpose generative architectures like ChatGPT and MidJourney are significantly more energy-intensive than task-specific systems across various tasks. This discrepancy raises concerns about the growing trend of deploying versatile yet resource-heavy AI systems without fully considering their environmental impact. More below. Key takeaways from the study Multi-purpose Generative AI models like ChatGPT and MidJourney, while versatile, are significantly more energy and carbon-intensive compared to task-specific models. Image-related AI tasks consume more energy than text-based tasks (which seems obvious in hindsight). There is an uneven trade-off between the benefits of multi-purpose AI systems and their environmental costs. The study’s authors urge a reassessment of deploying multi-purpose models for tasks where smaller, task-specific models could suffice. What do we do with that information? Both companies, governments, and consumers have a clear path ahead. They just need to walk it. For companies : Researchers from Google and UC Berkeley have highlighted the concept of the “4Ms” of machine learning, which includes Model, Machine, Mechanization, and Map. Optimizing these factors can significantly reduce the carbon emissions and energy use of ML systems. Optimize AI’s “4Ms” For governments : Current AI regulations often overlook environmental sustainability. However, the EU AI Act now classifies environmental harm as a high-risk area, requiring transparency and disclosure measures from AI model providers. As I’ve often argued, the rest of the world should follow suit. The compliance of data centers, in particular, should be carefully assessed. Meanwhile, governments should encourage research and development of more energy-efficient AI architectures. Develop better policies and regulations : There is no current process for certifying AI model sustainability. However, a rating system similar to the Leadership in Energy and Environmental Design (LEED) in construction could be developed for AI models, considering factors like model architecture and data center location. Support standardized reporting/certifications For consumers for well-defined tasks to reduce energy consumption. For example, if you need a language translation tool, choose one that specializes in translations rather than a multi-purpose model. If you can recycle, you can do that too. Prioritize task-specific AI models : Consider joining or supporting organizations and initiatives that advocate for responsible AI usage and environmental sustainability. Your voice can contribute to collective efforts in holding companies and governments accountable. Advocate for change Too soon to draw conclusions While enriching, the paper does have a few limitations. Primarily, its focus is on a limited set of AI models and tasks, which might not represent the entire spectrum of AI deployments. Additionally, there is a need for more comprehensive data on the energy consumption of different AI models throughout their lifecycle, including training and deployment phases. As researchers often like to say… “ .” more research is needed The study by Luccioni serves as a crucial wake-up call to the AI community, highlighting the need to balance technological advancements with environmental sustainability. et al. It underscores the importance of conscious decision-making in AI deployments, keeping in mind their long-term ecological implications. As we continue to harness the power of AI, it’s imperative to do so with a keen awareness of our environmental responsibilities, fostering a future where innovation and sustainability coexist harmoniously. Good luck out there. Also published . here

AI's Environmental Impact: Balancing Technological Advancements with Sustainability

In our rapidly changing technological landscape, the intersection of Artificial Intelligence (AI) and Large Language Models ( ) has become increasingly crucial. Today, we dive into the role of bootcamps in equipping individuals and organizations with the essential knowledge and skills required to leverage the full potential of AI and LLMs. While we won't be promoting any specific bootcamp, we will explore the broader significance of these educational programs and highlight three notable options available. LLMs The AI Revolution AI, once a buzzword, has transformed into a driving force across multiple industries, from healthcare and finance to retail and entertainment. Its capacity to process vast amounts of data, make predictions, automate tasks, and adapt from experience has reshaped the way we work and interact with technology. Within the AI spectrum, Large Language Models stand out as a potent subset, enabling systems to understand, generate, and manipulate human language. These LLMs are designed to work with colossal datasets, allowing them to process and generate human language with impressive fluency and accuracy. They can be adapted for various applications, including natural language understanding, text generation, translation, summarization, and more. In practice, LLMs like GPT-3 have demonstrated their prowess in diverse applications such as chatbots, virtual assistants, content generation, and data analysis. The Bootcamp Advantage Bootcamps designed to impart AI and LLM skills offer distinct advantages: : Bootcamps are often led by industry experts who bring a wealth of experience and practical knowledge to the table. This mentorship ensures participants learn from those who have worked with these technologies in real-world scenarios. Expert Guidance : Practical experience plays a pivotal role in grasping AI and LLM concepts. Bootcamps encourage participants to work on tangible projects, providing the hands-on experience that theory alone cannot deliver. Hands-On Learning : Bootcamps focus on real-world applications of AI and LLMs, ensuring that what participants learn can be directly applied in their professional lives. This industry relevance is a crucial aspect of these programs. Real-World Relevance : Completing an AI or LLM bootcamp equips individuals with skills that are in high demand. It opens doors to various career opportunities, both in AI development and within organizations seeking to harness the capabilities of these technologies. Career Advancement The Bootcamp Advantage: A Closer Look : Bootcamps are typically led by seasoned industry professionals who possess deep knowledge and practical experience in the field of AI and LLMs. These instructors bring real-world insights to the classroom, allowing participants to gain a profound understanding of the subject matter. Expert Guidance : One of the key strengths of bootcamps is their focus on hands-on, experiential learning. Rather than relying solely on theoretical lectures, participants actively engage in practical exercises and projects. This approach enables them to not only grasp the theoretical foundations but also develop the skills necessary to apply AI and LLM concepts in real-world scenarios. Hands-On Learning : Bootcamps are designed with a strong emphasis on real-world applications. The curriculum is often curated to address industry needs and challenges. This ensures that the knowledge and skills acquired during the program are directly applicable to professional settings. Participants gain insights into how AI and LLMs are used to address specific problems, enhancing their career readiness. Real-World Relevance : Completing an AI or LLM bootcamp can be a game-changer for individuals seeking to advance their careers. These programs equip participants with sought-after skills in the job market, making them valuable assets to employers. Whether it's pursuing a career in AI development or enhancing one's capabilities within an organization, bootcamps offer the knowledge and experience needed to thrive in the field. Career Advancement : Bootcamps often facilitate networking and collaboration among participants. The diverse backgrounds and experiences of fellow attendees can lead to valuable professional connections. Networking can be an essential component of career growth, and bootcamps provide an ideal environment to forge connections within the AI and LLM community. Networking Opportunities : Participants typically leave bootcamps with a portfolio of projects they have completed during the program. This portfolio serves as a tangible representation of their skills and accomplishments, which can be showcased to prospective employers or clients. A strong project portfolio is often a significant asset when entering the job market. Project Portfolio Attending or even participating in a data science bootcamp is a multifaceted approach to AI and LLM education. It encompasses expert guidance, hands-on learning, real-world relevance, career advancement, networking opportunities, and the development of a project portfolio. These combined benefits make AI and LLM bootcamps a powerful means of gaining practical skills, industry-specific knowledge, and a competitive edge in the dynamic world of artificial intelligence. Recommendations for Bootcamps When considering AI and LLM bootcamps, there are several notable options available: : As one of the oldest and largest players in this field, Data Science Dojo has trained over 10,000 data science professionals from 3000+ companies globally, and they continue to grow. While not the focus of this article, it's worth noting that they are renowned for their practical, hands-on approach to learning. Data Science Dojo : Known for its comprehensive curriculum and access to leading industry experts, Bootcamp X provides a solid foundation for those looking to dive into AI and LLMs. Bootcamp X : With a reputation for delivering cutting-edge AI education, Tech Mastery Institute offers an intensive bootcamp that focuses on both the theory and practical applications of AI and LLMs. Tech Mastery Institute Data, Insight, and Metrics I can provide some insights and data related to attending or participating in bootcamps. Please note that specific statistics may vary depending on the source, location, and type of bootcamp. However, I can offer some general information based on trends up to my last knowledge: : Bootcamps, including those focused on AI and LLMs, have experienced significant growth in recent years. According to Course Report, the by 4.4% from 2020 to 2021, indicating that more individuals are seeking out these programs. Rapid Growth in Bootcamp Enrollment bootcamp market grew : With the increasing demand for tech skills, bootcamps have become a popular choice for individuals looking to pivot into tech careers. by Career Karma stated that coding bootcamps saw a 10.4% growth in enrollment in 2020, driven by the demand for tech talent. High Demand for Tech Skills A report : Bootcamps typically attract a diverse pool of participants, including recent college graduates, career changers, and professionals looking to upskill. The diversity in backgrounds and experiences among participants often enriches the learning environment. Diverse Participants : Many individuals opt for bootcamps as a means to advance their careers. by Indeed Hiring Lab found that 80% of companies surveyed considered bootcamp graduates as strong job candidates, and 72% of hiring managers believe bootcamp graduates are just as prepared and likely to be high performers as college graduates. Bootcamps for Career Advancement A study : Bootcamps are known for their short, intensive programs, which typically last a few months. These programs aim to equip participants with practical skills quickly, enabling them to enter the job market faster. Short Duration Programs : Bootcamps often highlight their job placement rates as a measure of success. According to Course Report, for bootcamp graduates was around 82.1% in 2021. Job Placement Rates the overall job placement rate : Completing a bootcamp can lead to substantial increases in earning potential. by Glassdoor reported that bootcamp graduates saw an average salary increase of 62.7% compared to their previous roles. High Earning Potential A study To obtain the most current data and statistics regarding bootcamps, I recommend checking reputable sources such as industry reports, educational websites, and career development platforms. Here are some credible sources where you can find the latest information on bootcamp enrollment and outcomes: : Course Report is a well-known resource for researching coding bootcamps. They often publish comprehensive reports on bootcamp industry trends, including enrollment data and job placement rates. Course Report : Career Karma is another valuable resource for bootcamp information. They provide insights into bootcamp enrollment trends and statistics. Career Karma : Indeed often publishes research related to employment and education. You can find valuable information on bootcamp graduates and job placement in their reports. Indeed Hiring Lab : Glassdoor is known for its data-driven insights into job markets and salaries. They sometimes publish studies on the earning potential of bootcamp graduates. Glassdoor Research : LinkedIn occasionally releases reports on skills and learning trends, including the effectiveness of bootcamps. LinkedIn Learning and Development Report To access the most recent data and statistics, please visit the websites mentioned above or search for recent reports and studies related to bootcamps in your specific area of interest. This will ensure you have the latest and most accurate information on bootcamp participation and outcomes. In conclusion, bootcamps specializing in AI and Large Language Models offer a practical and insightful path for individuals and organizations to harness the potential of these transformative technologies. While we haven't endorsed any specific program here, the importance of these educational initiatives in fostering understanding and proficiency in AI and LLMs is undeniable. In the ever-evolving realm of technology, investing in one's knowledge and skills remains a steadfast strategy for personal and professional growth.

The Role of Bootcamps in AI and Large Language Model Education

Advanced Micro Devices Inc.’s ( ) latest earnings report highlights the company’s impressive performance despite several challenges being faced by the PC industry AMD For the entire year, AMD’s yearly revenue increased by 44% to $23.6 billion. In terms of the company’s financial performance for the fourth quarter, revenue climbed 16% over the prior year to $5.6 billion. The company's sales of embedded products also grew from $3.9 billion in 2021 to $10.6 billion in 2022. Although the fourth quarter saw a 51% decline in revenue for AMD's client segment, which includes PCs, this decline was offset by a 42% increase in revenue for AMD's data center segment. After seeing a rapid expansion during the pandemic, the PC industry as a whole is currently experiencing a significant downturn in sales. CEO Lisa Su attributed these results to significant growth in AMD’s embedded and data center segments, which she said accounted for more than 50% of overall revenue in the quarter. The debut of a new CPU by AMD and its pandemic-era acquisition of specialty chip manufacturer Xilinx is also helping AMD's data center business thrive. “We set annual records for revenue, gross margin and profitability driven largely by a 64% increase in our data centre segment revenue and the strong performance of our embedded segment following our Xilinx acquisition.” Furthermore, AMD's strategic partnerships with major cloud providers have further solidified its position in the data center market, Lisa Su said on the call. “Turning to the fourth quarter business results, starting with our data center segment. Revenue increased 42% year over year to $1.7 billion, led by increased adoption of our EPYC processors by cloud providers. In cloud, sales to North American hyperscalers more than doubled year over year as hyperscale customers continued moving more of their internal workloads and external instances to EPYC processors.” Since being bought a year ago, Xilinx has contributed to AMD’s record sales, driven mostly by high demand for Alveo X3 series boards from the financial services industry. Future Outlook Bloomberg Intelligence analyst estimates that earnings for chip companies, more generally, will decrease 21% this year, but despite this widespread concern about a downturn in the chip industry, AMD is expected to be among the few semiconductor companies to experience growth in 2023. Although AMD on Tuesday forecasted $5.3 billion in sales for the quarter ending in March, a 10% decline in revenue over the prior year, the firm anticipates a stronger second half of this year. Su expects the first quarter to be the bottom for the company in PCs and affirmed that they would grow from there into the second quarter and then into the second half While referring to the company’s earnings for 2022, Su said: "2022 was a strong year for AMD as we delivered best-in-class growth and record revenue despite the weak PC environment in the second half of the year.” Despite not providing full-year forecasts for the company due to economic uncertainty, Su remained certain about the company’s performance outlook. "Although the demand environment is mixed, we are confident in our ability to gain market share in 2023, and deliver long-term growth based on our differentiated product portfolio.” AMD is also participating in the competition for AI. With a couple of new product releases specifically focused on powering AI engines, including the Ryzen 7000 series and MI300 accelerator, Su acknowledged, on the call, the company's focus on AI over the next years, “Over the next several years, one of our largest growth opportunities is in AI, which is in the early stages of transforming virtually every industry service and product.” She further expressed assurance that AMD has a robust product lineup to compete in the AI business. “We expect AI adoption will accelerate significantly over the coming years and are incredibly excited about leveraging our broad portfolio of CPUs, GPUs and adaptive accelerators in combination with our software expertise to deliver differentiated solutions that can address the full spectrum of AI needs in training and inference across cloud, edge and client.” Already, more than 100 of the fastest supercomputers in the world are powered by AMD. The fourth-generation EPYC uses up to 80% less energy. AMD also has 140 fourth-generation EPYC platforms for businesses that are being built by HPE, Dell, Lenovo, Super Micro, and other companies. Overall, Su maintains the stance that the company has an adaptive product portfolio that will enable them to grow revenue and gain market share in 2023.

AMD Posts Q4 Earnings Growth, Despite Industry Challenges; Expects to Capitalize on AI Demand

AMD পোস্টের Q4 আয়ের বৃদ্ধি, শিল্পের চ্যালেঞ্জ সত্ত্বেও; AI চাহিদাকে পুঁজি করার প্রত্যাশা করে

AMD verzeichnet trotz Branchenherausforderungen Gewinnwachstum im vierten Quartal; Erwartet, von der KI-Nachfrage zu profitieren

AMD는 업계의 어려움에도 불구하고 4분기 실적 성장을 기록했습니다. AI 수요 활용 기대

AMD, Sektördeki Zorluklara Rağmen 4. Çeyrekte Kar Artışını Açıkladı; Yapay Zeka Talebinden Yararlanmayı Bekliyor

Born under a bad sign — AI learning, trolling, economy & political influence — leads to unwanted developments and consequences. Shape of things to come — health privacy, insect bots & chip making — is a mixed bag of developments. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Born under a bad sign - DARPA Seeking AI That Learns All the Time — “[DARPA] is looking to change the way works…[with] …that learn continuously, adapt to new tasks, and know what to learn and when. ‘ AI Lifelong Learning Machines …. We want the rigor of automation with the flexibility of the human’ ….[ Neural networks are adaptable systems whose ability to learn comes from…[training] on a set of data….[Problem] when the AI encounters something it was never trained to recognize So] two sets of groups. One set will…develop systems that can continuously learn, adapt to new tasks and circumstances, and understand inputs according to what the system’s mission is (called ‘goal-driven perception)…. .” [Another] to identify new mechanisms of lifelong learning — from biology or a physical science — and transfer that mechanism to an algorithm that improves AI https://spectrum.ieee.org/cars-that-think/robotics/artificial-intelligence/darpa-seeking-ai-that-can-learn-all-the-time _There are ghosts in the machine._medium.com Why You Should Fear Artificial Intelligence-AI State-Sponsored Trolling — “[T]he use by states of targeted online hate and harassment campaigns to intimidate and silence individuals critical of the state…[using] surveillance and hacking…afforded by a new era of pervasive technology…persecutes perceived opponents at scale…. [ …. There’s] several commonalities…[including] death and rape threats, using bots…to amplify vitriolic attacks at scale…accusations of treason or collusion with foreign intelligence agencies, using ‘black’ public relations firms to disseminate hyper-partisan or libelous disinformation about targets, spreading doctored images and memes…using spyware and hacking to gather…intelligence against targets, and sowing acrimonious sexism ….[ Changes in law are unlikely to effectively stem the practice of state-sponsored trolling in the short term…[so] technology companies bear…[responsibility] to curb…state-sponsored harassment campaigns…[as] form of human rights abuse…with pinpoint personalization Need] the expansion of…international and US law to include the types of online harassment and hate speech deployed as part of state-sponsored trolling attacks; the reconsideration of intermediary liability…[for] platforms in facilitating trolling campaigns;… .” technology companies to detect and identify state-linked accounts, bots, and hateful content online http://www.iftf.org/fileadmin/user_upload/images/DigIntel/IFTF_State_sponsored_trolling_report.pdf These 3 advantages once ensured U.S. prosperity. They’re not coming back. — “[Prosperity] constructs a society with greater economic and social justice…[Trump’s] appeal rests heavily on our loss of confidence in this vision…. From 1950 to 1973, the economy grew at an average annual rate of 4 percent …[but] from 2008 to 2017…averaged only 1.5 percent ….[T]he postwar boom…[had] three economic advantages…that were fated to fade…. backlog of new technologies (television, jet aircraft, synthetic fibers, antibiotics, air conditioning) that boosted both consumer spending and business investment…. destruction of Europe and Japan left…few serious [competitors]…[so] trade balance was routinely in surplus; the first deficit [1971]…. …. …. progress in stabilizing the economy 2008–2009 financial crisis remind us that the problem of the business cycle hasn’t been solved …. U.S. corporations turn out to be vulnerable…abroad, and to new technologies…. The skewing of income toward those at the top compounds the effect…[and] a breeding ground for discontent ” Trump blames… immigrants and imports…[and] American officials…[so] tariff proposals seem to be causing as much or more grief among the U.S. firms they’re supposed to help…[because] there’s a big difference between economic nostalgia and economic policy. https://www.washingtonpost.com/opinions/these-3-advantages-once-ensured-us-prosperity-theyre-not-coming-back/2018/07/22/835b4102-8c49-11e8-a345-a1bf7847b375_story.html?utm_term=.75d1f0c9de66 _As a dog that regularly bites, it is fair to say we have a love-hate relationship with capitalism. This lends itself to…_medium.com Capitalism and Post-Capitalism — The Whole Truth & Nothing But As inequality grows, so does the political influence of the rich — “SQUEEZING the top 1% ought to be…[easy] for politicians seeking to please the masses…[but] more concerned with immigration and sovereignty…[is] sign of the corrupting influence of inequality…. …. 19th century governments across the West faced the threat of socialist revolution…[and] promises of greater redistribution…[needed] institutional guarantees America’s electoral college…prized by elites…because they served as a check on the egalitarian tendencies of the masses …. …. [Today] more than two-thirds of Americans and Europeans express concern about current levels of inequality…[but] democracies might have become too jammed to make progress on any issue of substance …. Last year America’s government…change to taxes…tilts the distribution of income even more in favor of the rich…[and] politicians seem less interested in grappling with the problem [ So] rising inequality…boost the power of the rich…to counter the popular will…[with] political preferences of those with $40m or more…overwhelmingly favor cutting spending on major social-safety-net programs. (The general public wants it increased.).… [In] regular personal contact with elected officials…fewer than 30,000 people account for a quarter of all national political donations from individuals and…more than 80% of the money raised by political parties…[with] means to shape public opinion: financing…think-tanks…or buying media outlets…to shape public narratives about which problems deserve attention…[so] economic justice are crowded out…. [It’s] the ‘negative agenda power’ of the rich…that reducing inequality becomes less likely even as it becomes more urgent…with a loss of democratic accountability as a nasty side-effect …. [So far] across human history, inequality inevitably rises until checked by disasters like wars or revolutions…. If political leaders tried…they might…find that redistribution is a winner at the ballot box.” https://www.economist.com/finance-and-economics/2018/07/21/as-inequality-grows-so-does-the-political-influence-of-the-rich Shape of things to come — Health Insurers Are Vacuuming Up Details About You — And It Could Raise Your Rates — “[Insurers] are tracking your race, education level, TV habits, marital status, net worth**… ….** social media, whether you’re behind on your bills, what you order online…[then] feed this information into…algorithms that spit out predictions about how much your health care could cost them …. [But] patient advocates and privacy scholars say the insurance industry’s data gathering runs counter to its…federally required, allegiance to patients’ medical privacy …. HIPAA only protects medical information Patient advocates warn that using unverified, error-prone ‘lifestyle’ data to make medical assumptions could lead insurers to improperly price plans — for instance, raising rates based on false information — or discriminate against anyone tagged as high cost …. . . [This] is important because patients — through taxes, cash payments and insurance premiums…[fund] entire health care system Yet the industry’s…strategies and inside deals often has little to do with patients’ needs… [ …. T]he big guns in health data…[are] Optum, IBM Watson Health and LexisNexis ….[Optum] owned by…UnitedHealth Group…collected the medical diagnoses, tests, prescriptions, costs and socioeconomic data of 150 million Americans going back to 1993…to link patients’ medical outcomes and costs to details like their level of education, net worth, family structure and race…[and] filed a patent…to gather what people share on…Facebook and Twitter, and to link this…to the person’s clinical and payment information …. Doctors and hospitals have typically been paid based on the quantity of care [provided]…[but] moving toward paying them in lump sums for caring for a patient, or for an event, like a knee surgery…[so] can profit more when patients stay healthy …. Studies show social and economic aspects of people’s lives play an important role in [health]…[but] industry has a history of boosting profits by signing up healthy people and finding ways to avoid sick people … Affordable Care Act prohibits insurers from denying people coverage based on pre-existing health conditions or charging sick people more…[but] Trump administration is promoting short-term health plans, which do allow insurers to deny coverage to sick patients…[fail] to include enough information about which drugs a plan covers…[change] things a plan covers, or how much a patient has to pay…after a patient has enrolled…[or] exclude or limit certain types of providers from their networks — like those who have skill caring for patients with HIV or hepatitis C . …. ’ [IBM] surveys 80,000 Americans a year to assess lifestyle, attitudes and behaviors that could relate to health care…[and] analyzed together to identify social and economic factors for an area….A region with too many sick people, or with patients who don’t take care of themselves, might not be worth the risk ’God forbid you live on the wrong street…[and] get lumped in with a lot of bad things …. …. [LexisNexi] uses 442 nonmedical personal attributes to predict a person’s medical costs…[with] more than 78 billion records…including people’s cellphone numbers, criminal records, bankruptcies, property records, neighborhood safety and more…to predict patients’ health risks and costs in eight areas …. People who downsize their homes tend to have higher health care costs…[likewise] those whose parents didn’t finish high school. Patients who own more valuable homes are less likely to land back in the hospital within 30 days of their discharge….[T]he largest health actuarial firm in the world, Milliman…[uses] LexisNexis scores…[for] individual patients and make adjustments to protect themselves from losses ’No one gave anyone permission to do this…[and] not health data…[but] inferred data’ …[leading] to poor people being charged more…[and] harder for them to get the care they need….[Employers] could even decide not to hire people with…high medical costs in the future …. [Our] policymakers could…protect people’s information…[like] ’Europe, data protection is a constitutional right’….[Also] health scores should be treated like credit scores. Federal law gives people the right to know their credit scores and how they’re calculated .[If] rated by whether they listen to sad songs…or look up information about AIDS online, they should know…. … ” [LexisNexis] told me that if it had calculated my scores it would have done so on behalf of…my insurance company. So, I couldn’t have them. https://www.npr.org/sections/health-shots/2018/07/17/629441555/health-insurers-are-vacuuming-up-details-about-you-and-it-could-raise-your-rates ‘Scraper’ Bots and the Secret Internet Arms Race — “Companies are waging an invisible data war online…[using] software to scan rival websites and collect prices, a process called ‘scraping’…[with] machine-learning algorithms to help…decide how much to charge for different products…. . Google and Bing scrape web pages…for their search engines. Academics and journalists use scraping software to gather data… [ But] scraping can be a two-way street…[with] defenses to subvert scraping …. ….[ …. [One’s] showing different prices to real people than to bots ….[So some] mask bots to avoid detection…[or] appear to be coming from smartphones Users] choice: View ads or allow the app to use ‘some of your device’s resources Sometimes bots actually tell the sites they’re visiting…[but] can also lie. One technique for detecting bots is the frequency with which a visitor hits a site….Captchas can help, but…an inconvenience for legitimate users …. . [Trouble’s] is the need to allow some, but not all, bots to scrape a site If websites blocked bots entirely, they wouldn’t show up in search results. Retailers also generally want their pricing and items to appear on shopping comparison sites…. .” [Amazon] ‘prioritize humans over bots’….[Publishers] make sure advertisers are showing a site’s viewers the same ads that they show to the publishers….[Recently] Chrome extension was accused of being used to steal passwords https://www.wired.com/story/scraper-bots-and-the-secret-internet-arms-race/ DARPA Wants Your Insect-Scale Robots for a Micro-Olympics — “[Large robots] capable in some very specific situations, but…smaller, cheaper, more specialized robots is much more efficient…[especially] with data collection as opposed to manipulation…. [ …. DARPA] program called SHRIMP: SHort-Range Independent Microrobotic Platforms…goal is ‘to develop and demonstrate multi-functional micro-to-milli robotic platforms [Tech] advances in microelectromechanical systems (MEMS), additive manufacturing, piezoelectric actuators, and low-power sensors have allowed researchers to…to create the strength, dexterity, and independence of functional microrobotics platforms…. ] DARPA expects…systems that weigh less than one gram and fit into one cubic centimeter….[to . High Jump… vertically from a stationary starting position…and survivability…>5cm Long Jump… horizontally from a stationary starting position…and survivability…>5cm Weightlifting… progressively larger masses until…>10g. . Shotput_…_ >10cm @ 1g, >5cm @ 2g … Tug of War… connected to a load…> 25mN . Rock Piling… travel to, lift, and stack weights…in a minimum of two layers without human interaction…2g, 2 layers . Steeplechase… traverse the course without human interaction or recharge between each obstacle … 2 obstacles, 5m Biathlon… traverse to a series of beacon waypoints to create an open circuit without human interaction or recharge between each waypoint…2 beacons, 5m. Vertical Ascent… traverse up two surfaces, one with a shallow incline (10º) and the other with a sharp incline (80º) … 10m at 10°, 1m at 80°.” https://spectrum.ieee.org/automaton/robotics/robotics-hardware/darpa-wants-your-insect-scale-robots-for-a-micro-olympics DARPA Plans a Major Remake of U.S. Electronics — “[T]o make small groups of engineers capable of feats that would take 100 engineers to achieve today…aiming for 2025 to 2030… around chip architecture…of deep neural nets and other implementations**….** [A] program called Hive …[is] making associations across data sets which aren’t densely connected…doing things like updating memory access patterns, updating the type of cores that would be doing the processing, and working across the software stack to do a hardware/software codesign for a variety of applications…. ’…[ [Next] is something we call ‘software-defined hardware where] hardware is smart enough to reconfigure itself to be the type of hardware you want, based on an analysis of the data type that you’re working on ….[The] hard thing is…how to do that data introspection, how to reconfigure the chip on a…millisecond timescale…monitor whether you’re right…[and] constantly evolving toward the ideal solution…. … …. [Lastly] is the ‘domain specific system-on-chip starting with the software-defined radio…[then] to machine vision and machine learning and other domains to see if you can still have simplified programming models running on top of hyperspecialized hardware [Work] showed that two to three student designers can do full system-on-chip designs by abstraction and automation …. … Idea is really the intersection of machine learning and electronic design automation (EDA)…to capture the capabilities of the designer inside the EDA itself…[so] every time you use an EDA package, it gets smarter and…next design [easier] envision a cloud resource where multiple people are sharing and can all get better simultaneously…. …. [Today] rare to go to GitHub, find high-quality hardware blocks that are available, and have the verification tools and everything you would need to trust that…it is in a state that is useable for your design. Posh is…about the verification tools…[and] IP blocks that will be freely available As the abstraction of the hardware design gets higher and higher, it gets closer to the software community’s mentality…[and] a methodology to understand how good something is at a deep level before it’s used …. .” [Also] look at where memory is stored and ask: Can those same materials be used for processing information?…. Next-generation nonvolatile memory, for example, that switches very fast and with a low write energy https://spectrum.ieee.org/tech-talk/computing/hardware/darpas-planning-a-major-remake-of-us-electronics-pay-attention.html Find more of my ideas on Medium at, . A Passion to Evolve Or click the Follow button below to add me to your feed. Prefer a weekly email newsletter — free, no ads, no spam, & never sell the list — email me with “add me” in the subject line. dochuston1@gmail.com May you live long and prosper!Doc Huston

News — At The Edge — 7/28

Pretty recently the team from Hyperledger Composer posted a for any software developer creating on top of Composer. Its content could be quite shocking for a lot people in the community, since the project has always proven to be so robust. relevant note , is that even though a lot of efforts has been invested in the Composer project, they will mostly stop bringing new features to it. In synthesis the main reasons are regarding its growing architecture and the difficulties to maintain it. According to the note, they will focus more on bringing more features straight to Fabric (which is great for all of us!). Basically what Simon outlines in the note, posted on August 30, 2018 “The IBM team will continue to update Composer to maintain compatibility with the latest Fabric v1.x releases, and we will fix any high priority bugs — but certainly for the time being, we will not be looking at delivering any major new features into Composer.” As a software developer getting into Hyperledger, you may find it overwhelming to hop in into the ecosystem. There are lots of things to learn and a tool like Composer made it really easier for all of us to create POCs for Hyperledger Fabric. Yet, like a lot of people, we also noticed a few downsides on their architecture. Having to chose between “native” or really pushed us (and a lot of developers) to reduce dependencies and get into native Fabric when going into production, while using Composer only for proof of concepts. Fabric Composer Internally a few months ago, while creating our own development framework, we learnt a lot from Composer’s limitations and created , a nimble smart contracts system framework, initially supporting Hyperledger Fabric. Convector A few weeks ago we made it open source. At we understand the needs of the developer community (since we are developers ourselves), and our desire to give back to the community made it clear to make the decision. . WorldSibu You can read more about it here Our vision for Convector is similar to the one that the Composer project had, to support multiple blockchain technologies, but our approach is different, componentized by default. Your options from now own Hyperledger Fabric supports chaincodes (smart contracts) written in Go and Node.js. That has always been the option for people choosing to go “native” with Fabric. From our experience, developing in Go if you are not at an expert, can get out of control quickly, you end up creating a lot of helpers and validators to translate data, reusable functions that carry its respective cost of risks, and if you have the rest of your stack in another language, it gets really hard to integrate it (CI/CD/Testing). If you choose to go with Node.js and you already know JavaScript (or similar languages in terms of syntax like Java, C#, C++) it gets way easier. But still, you have to fight a lot of the common downsides of a flexible technology like JavaScript, its so flexible that you can get it wrong really fast. As I was telling before, we found ourselves creating native Fabric solutions and during the maturity of our development experience, we conceptualized and developed Convector. It may be helpful in case you decide to go with Node.js as your development language option. It embraces a pattern, making it easier to bring business concepts without adding extra layers to your code. It’s still your same code that runs in the blockchain. You still develop natively. Model/Controller If you find yourself looking to create smart contract systems, Convector may support you on your development experience. Here are some links: Writing Smart Contracts using Convector — a Fullstack Typescript Framework Convector: Smart Contract Systems the easy Getting started with Convector Announcing: Convector, a JavaScript Framework for Smart Contract Systems Its approach is to support a fullstack JavaScript solution, without adding extra components, what it does is to extend your code while bringing a ecosystem of tools like development environment setup and testing mocks. A part of the note mentions that they could not get as much support of the community as they desired, and we also believe that community support (bug reports, enhancements, documentation) is key for Convector. We’d love to get support from the community to make Convector the standard in smart contract systems development. Our vision is for it to enable a Software Developer to create once, and deploy anywhere (any blockchain platform). To contribute . You can also . here are some guidelines join the Discord Community for Convector here As a conclusion regarding their decision to stop advancing the development of Composer what we can say is that we think it is normal for things like that to happen, they got into the technology too early and took the burden to make the world easier for us all. They provided value at a time when getting into Blockchain was way harder than today. Since the Hyperledger community is open, we would love that the Hyperledger Project can find our framework useful and decide to contribute to it. As well, we look forward for those new tools Simon says they plan to release to integrate them in the wider spectrum that Convector aims to cover.

Hyperledger Composer has been put on pause, what are your options now?

PARIS, France, April 25th, 2024, Chainwire Prize pool of over 1M€ value including media grant from Cointelegraph
Proof of Pitch is part of Proof of Talk, where All Global Leaders in Web3 Meet
10-11 June 2024, Museum of Decorative Arts (MAD), Louvre Palace, Paris In a ground-breaking shift from traditional pitch competitions, Proof of Pitch emerges as a transformative platform uniquely combining Artificial Intelligence (AI) insights with the strategic acumen of the world’s leading Web3 venture capitalists. Proof of Pitch participants will showcase their presentation to an exclusive audience of speakers and VCs, including CEOs, founders of leading blockchain companies, and top Web3 VC partners. Next to the competition’s main sponsor zkSync, distinguished partners and jurors are participating, including Pantera Capital, Borderless Capital, Binance Labs, Greenfield Capital, Arrington Capital, Animoca Brands, Spartan Group, X Ventures, Mechanism Capital and Cointelegraph. The Proof of Pitch winner will be awarded a first-place grand prize award of 1M€ value in a combination of cash investments by participating VCs, Accelerator services, visibility (such as a 30k media grant from Cointelegraph), and many other value-adding elements. All participants will also receive a detailed 12-page investment report to understand the strengths and weaknesses of their pitch, outlining strengths to focus on and weaknesses to improve. This is equivalent to a team of analysts spending weeks analyzing the participant's startup. Zohair Dehnadi, Co-Founder, Proof of Talk and Partner, X-Ventures: “Unlike conventional pitch competitions, Proof of Pitch enables global businesses and leadership to intelligently tap into the power of Web3, providing valuable and sustainable insights for investors and the startup community at large instead of having just another light-touch startup competition with glittering prizes which ultimately do not add any real business value. Be part of our prestigious Proof of Pitch experience and elevate yourself! See you in June!” Revolutionizing Startup Evaluation: The AI Advantage At the heart of Proof of Pitch, a pioneering AI-driven tool is redefining startup assessments, providing deep, nuanced insights at an unprecedented pace. Developed by XVentures through a rigorous, year-long collaboration involving top VCs and data scientists, this AI, known as Pitch Scan LLM tool, can scrutinize a start-up’s business model, conducting thorough due diligence, and evaluate the team behind the idea, market size, and competitive landscape—within minutes rather than weeks. Every participant will be furnished with a detailed 10-page report, with a strategic roadmap for success in the ever-evolving Web3 domain. Beyond Funding: Prizes That Foster Growth This initiative is a revolutionary approach aimed at identifying, nurturing, and elevating start-ups set to redefine the innovative horizons of Web3. Winning at Proof of Pitch extends well beyond obtaining financial support. Winners are embraced by a full spectrum of resources, from AI-powered analytics to mentorship by Web3 visionaries, alongside direct introductions to leading venture capitalists. This holistic support system is designed to refine strategies, accelerate growth, and establish market leadership. Unprecedented Visibility Among The Elite Gain exclusive exposure by standing among the top 10% of applicants, showcased to a distinguished audience including CEOs, founders of leading blockchain enterprises, and top-tier Web3 venture capitalists. This exposure is more than mere visibility—it’s a golden ticket to captivate the attention of the industry’s elite, secure pivotal investments, and forge transformative connections. A Vanguard Call to Web3 Innovators Proof of Pitch calls upon start-ups at the cutting edge of Web3 innovation to dazzle the industry's titans, venture through the vanguard of technology, and stake a claim in the digital future. This unparalleled opportunity allows participants to showcase their visionary ideas, propel their start-ups forward, and create a lasting impact in the domain of digital innovation. Proof of Pitch invites those who are interested to dive into this revolutionary journey, an avenue for transcending traditional pitch norms. Navigate through the forefront of Web3 innovation. Proof of Talk seeks to welcome over 2500 participants. Combined with a stellar speaker line-up featuring CEOs, founders, and leaders of the Web3 and digital assets industry, the summit features impact-focused networking and a refined agenda. A few of the speakers include: ● Joseph Lubin, CEO and Founder at Consensys ● Jenny Johnson, CEO, Franklin Templeton ● Tim Draper, Founder, Draper Associates ● Ophelia Snyder, Cofounder President, 21Shares ● Mihailo Bjelic, Co-Founder, Polygon ● Raoul Pal, Crypto Macro Economist ● Yat Siu, Chairman, Animoca Brands ● Stani Kulechov, CEO, Avara ● Staci Warden, CEO, Algorand Foundation ● Tim Grant, CEO, Deus X Capital ● Digital asset leads from over 30 major TradFi banks ● Partners from 100+ attending VCs The summit’s agenda also actively reflects Web3’s growing importance, with over 20 panels, 10+ workshops, and over a dozen keynotes and firesides on key topics shaping Web3’s future. These include real-world asset tokenization, AI-blockchain integration, gaming evolution, and smart contract security. Participants in this year's Proof of Pitch can showcase their innovative ideas and gain valuable exposure. Participants have the opportunity to connect with industry experts and potential investors who can help elevate their businesses to the next level. Those who are interested can apply here. About Proof of Talk Proof of Talk is setting a new standard in the Web3 conference landscape, positioning itself not just as another web3 conference but as a pivotal forum where the promise of decentralization comes to life. The summit uniquely combines the essence of traditional economic forums with the dynamic, decentralized Web3 community, fostering an innovative ecosystem of dialogue and action. It stands as a platform for change, where every voice, from the seasoned economist to the radical Web3 founder, contributes to a collective vision of a decentralized economic future. By facilitating engaging discussions and unparalleled networking, participants shape this new landscape. Learn more at www.proofoftalk.io About X Ventures X Ventures is a Germany-based digital assets investment fund dedicated to supporting and empowering entrepreneurs in the Web3 industry. Alongside its investment activities, X Ventures founded www.xschool.io, aiming to provide accessible education to future leaders worldwide. Website: https://www.xventures.de Contact Shanna Molina Cognito shanna.molina@cognitomedia.nl This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here. PARIS, France, April 25th, 2024, Chainwire PARIS, France, April 25th, 2024, Chainwire Prize pool of over 1M€ value including media grant from Cointelegraph Proof of Pitch is part of Proof of Talk, where All Global Leaders in Web3 Meet 10-11 June 2024, Museum of Decorative Arts (MAD), Louvre Palace, Paris Prize pool of over 1M€ value including media grant from Cointelegraph Proof of Pitch is part of Proof of Talk, where All Global Leaders in Web3 Meet 10-11 June 2024, Museum of Decorative Arts (MAD), Louvre Palace, Paris In a ground-breaking shift from traditional pitch competitions, Proof of Pitch emerges as a transformative platform uniquely combining Artificial Intelligence (AI) insights with the strategic acumen of the world’s leading Web3 venture capitalists. Proof of Pitch participants will showcase their presentation to an exclusive audience of speakers and VCs, including CEOs, founders of leading blockchain companies, and top Web3 VC partners. Proof of Pitch Proof of Pitch Next to the competition’s main sponsor zkSync, distinguished partners and jurors are participating, including Pantera Capital, Borderless Capital, Binance Labs, Greenfield Capital, Arrington Capital, Animoca Brands, Spartan Group, X Ventures, Mechanism Capital and Cointelegraph. The Proof of Pitch winner will be awarded a first-place grand prize award of 1M€ value in a combination of cash investments by participating VCs, Accelerator services, visibility (such as a 30k media grant from Cointelegraph), and many other value-adding elements. All participants will also receive a detailed 12-page investment report to understand the strengths and weaknesses of their pitch, outlining strengths to focus on and weaknesses to improve. This is equivalent to a team of analysts spending weeks analyzing the participant's startup. Zohair Dehnadi, Co-Founder, Proof of Talk and Partner, X-Ventures: “Unlike conventional pitch competitions, Proof of Pitch enables global businesses and leadership to intelligently tap into the power of Web3, providing valuable and sustainable insights for investors and the startup community at large instead of having just another light-touch startup competition with glittering prizes which ultimately do not add any real business value. Be part of our prestigious Proof of Pitch experience and elevate yourself! See you in June!” Revolutionizing Startup Evaluation: The AI Advantage At the heart of Proof of Pitch, a pioneering AI-driven tool is redefining startup assessments, providing deep, nuanced insights at an unprecedented pace. Developed by XVentures through a rigorous, year-long collaboration involving top VCs and data scientists, this AI, known as Pitch Scan LLM tool, can scrutinize a start-up’s business model, conducting thorough due diligence, and evaluate the team behind the idea, market size, and competitive landscape—within minutes rather than weeks. Every participant will be furnished with a detailed 10-page report, with a strategic roadmap for success in the ever-evolving Web3 domain. Beyond Funding: Prizes That Foster Growth This initiative is a revolutionary approach aimed at identifying, nurturing, and elevating start-ups set to redefine the innovative horizons of Web3. Winning at Proof of Pitch extends well beyond obtaining financial support. Winners are embraced by a full spectrum of resources, from AI-powered analytics to mentorship by Web3 visionaries, alongside direct introductions to leading venture capitalists. This holistic support system is designed to refine strategies, accelerate growth, and establish market leadership. Unprecedented Visibility Among The Elite Gain exclusive exposure by standing among the top 10% of applicants, showcased to a distinguished audience including CEOs, founders of leading blockchain enterprises, and top-tier Web3 venture capitalists. This exposure is more than mere visibility—it’s a golden ticket to captivate the attention of the industry’s elite, secure pivotal investments, and forge transformative connections. A Vanguard Call to Web3 Innovators Proof of Pitch calls upon start-ups at the cutting edge of Web3 innovation to dazzle the industry's titans, venture through the vanguard of technology, and stake a claim in the digital future. This unparalleled opportunity allows participants to showcase their visionary ideas, propel their start-ups forward, and create a lasting impact in the domain of digital innovation. Proof of Pitch invites those who are interested to dive into this revolutionary journey, an avenue for transcending traditional pitch norms. Navigate through the forefront of Web3 innovation. Proof of Talk seeks to welcome over 2500 participants. Combined with a stellar speaker line-up featuring CEOs, founders, and leaders of the Web3 and digital assets industry, the summit features impact-focused networking and a refined agenda. A few of the speakers include: ● Joseph Lubin, CEO and Founder at Consensys ● Jenny Johnson, CEO, Franklin Templeton ● Tim Draper, Founder, Draper Associates ● Ophelia Snyder, Cofounder President, 21Shares ● Mihailo Bjelic, Co-Founder, Polygon ● Raoul Pal, Crypto Macro Economist ● Yat Siu, Chairman, Animoca Brands ● Stani Kulechov, CEO, Avara ● Staci Warden, CEO, Algorand Foundation ● Tim Grant, CEO, Deus X Capital ● Digital asset leads from over 30 major TradFi banks ● Partners from 100+ attending VCs The summit’s agenda also actively reflects Web3’s growing importance, with over 20 panels, 10+ workshops, and over a dozen keynotes and firesides on key topics shaping Web3’s future. These include real-world asset tokenization, AI-blockchain integration, gaming evolution, and smart contract security. Participants in this year's Proof of Pitch can showcase their innovative ideas and gain valuable exposure. Participants have the opportunity to connect with industry experts and potential investors who can help elevate their businesses to the next level. Those who are interested can apply here . here here About Proof of Talk Proof of Talk is setting a new standard in the Web3 conference landscape, positioning itself not just as another web3 conference but as a pivotal forum where the promise of decentralization comes to life. The summit uniquely combines the essence of traditional economic forums with the dynamic, decentralized Web3 community, fostering an innovative ecosystem of dialogue and action. It stands as a platform for change, where every voice, from the seasoned economist to the radical Web3 founder, contributes to a collective vision of a decentralized economic future. By facilitating engaging discussions and unparalleled networking, participants shape this new landscape. Learn more at www.proofoftalk.io www.proofoftalk.io www.proofoftalk.io About X Ventures X Ventures is a Germany-based digital assets investment fund dedicated to supporting and empowering entrepreneurs in the Web3 industry. Alongside its investment activities, X Ventures founded www.xschool.io, aiming to provide accessible education to future leaders worldwide. Website: https://www.xventures.de https://www.xventures.de https://www.xventures.de Contact Shanna Molina Cognito shanna.molina@cognitomedia.nl This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here. This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here. here. here.

Proof of Pitch: Transforming The Pitch Competition Landscape With AI-Driven Insights And Top Web3 VC

পিচের প্রমাণ: এআই-চালিত অন্তর্দৃষ্টি এবং শীর্ষ ওয়েব3 ভিসি সহ পিচ প্রতিযোগিতার ল্যান্ডস্কেপ রূপান্তর করা

Proof of Pitch: Transformation der Pitch-Wettbewerbslandschaft mit KI-gestützten Erkenntnissen und Top Web3 VC

Prueba de presentación: transformar el panorama de la competencia de presentaciones con información basada en inteligencia artificial y los mejores capitalistas de riesgo Web3

Preuve de pitch : transformer le paysage de la compétition de pitch avec des informations basées sur l'IA et le meilleur VC Web3

पिच का प्रमाण: एआई-संचालित अंतर्दृष्टि और शीर्ष वेब 3 वीसी के साथ पिच प्रतियोगिता परिदृश्य को बदलना

ピッチの証明: AI 主導の洞察とトップ Web3 VC でピッチ競争の状況を変革

프레젠테이션 증명: AI 기반 통찰력과 최고의 Web3 VC를 통해 프레젠테이션 경쟁 환경 변화

Prova de argumento de venda: transformando o cenário da competição de argumentos de venda com insights baseados em IA e os principais VC da Web3

Proof of Pitch: преобразование конкурентной среды с помощью искусственного интеллекта и ведущих венчурных инвесторов Web3

Satış Konuşmasının Kanıtı: Yapay Zeka Odaklı Analizler ve En İyi Web3 VC ile Satış Konuşması Rekabet Ortamını Dönüştürüyor

Bằng chứng về quảng cáo chiêu hàng: Thay đổi bối cảnh cạnh tranh quảng cáo chiêu hàng bằng thông tin chi tiết dựa trên AI và Web3 VC hàng đầu

推介证明：利用人工智能驱动的洞察力和顶级 Web3 VC 改变推介竞争格局

As advances, more weaknesses and vulnerabilities appear that hackers can use to take advantage of their victims, like phishing, voice and more. Identity theft is one of the most damaging forms of cybercrime, and voice hacking is a subset of that. This kind of attack involves collecting or stealing audio samples that can be used to gain access or verify an identity. technology hacking Whether you’re a high-profile, well-to-do business executive, or a traditional 9–5er, voice hacking and identity theft can ruin you all the same. It can be used to destroy your credit, sully your character, damage your career or even harass you or blackmail you. None of these eventualities are far-fetched, either. Cybercrime damage costs . High-profile hacks and breaches are becoming increasingly prevalent and cost both businesses and consumers trillions of dollars. are expected to exceed $6 trillion annually by 2021 Even so, it’s not really clear what kind of damage can a voice hack do? Let’s take a closer look to find out. What Is a Voice Hack? This kind of breach involves collecting a sample or audio recording of your voice that can be used for speech and voice recognition. In the past, this may not have been such an issue, but, today, more security teams are relying on voice recognition as a common form of authentication. For example, a bank may require you to speak a special password, out loud, to verify your identity. One of the biggest benefits of using this form of personal identification is to boost productivity and efficiency. Customers can quickly confirm their identity to reps, while those reps can just as easily establish the trust they need to provide access accounts, sensitive data and more. The Treat of an Authentication Breach If you never use this form of authentication, it’s easy to dismiss the threat as something that doesn’t apply to you. But there are a growing number of voice dictation and command tools that require you to speak, as well. This includes a spectrum of bots, from AI and assistants like Siri, Alexa and Google to apps like WeChat, Facebook and more. Not only do they listen to your voice, they often record your tone and phrases and store that data in the cloud for reference later. Of course, those platforms don’t use the data collected for anything nefarious. They are simply so the tool and assistant can more accurately understand your commands, but, in the wrong hands, this data can be damaging. With the right toolsets, hackers can record and access a convincing audio sample. This can be played back to trick customer service associates and even digital security systems. To make matters worse, once a voice sample has been collected, that’s it, the hackers can use it any way they see fit, and, with the right tools, it’s possible they can even or communicated. modify what’s being said Protection, security and privacy then become more about preventative measures because, again, once a recording is made, your voice is compromised. How Can You Protect Yourself? The glaring issue with preventative measures is that all your effort and all your investments go into actually stopping a breach or attack. Generally, they don’t take into account the aftermath or even help with damage control. Sadly, there’s just not much you can do once a hacker has sensitive data — like your voice — in their hands. You can cancel accounts, shut down or freeze credit cards and contact your bank and better protect your money. That said, all these measures can be pretty inconvenient, especially when you need to spend money or use your credit, and that never stops — you always need some form of currency. Protect a Valuable Asset So, how do you protect yourself, especially when it comes to your voice? You can’t rightly lock down your vocal chords and adopt a vow of silence. Luckily, developers and engineers are already working on security solutions for everyone. Researchers at the University of Buffalo, for example, have come up with a way to use a smartphone’s compass . to prevent this type of hacking Thanks to magnetic fields — which are a core element of audio and recording playback — the app can use a compass to detect the proximity of a voice and better identify if it’s fake or real, and that’s just the beginning. The Buffalo researchers are one of many teams coming up with more secure technology and protocols. Take, for instance, the new encryption protocols being to help them prevent and thwart cyberattacks. That’s going to be a big deal in the future, as no one wants to be trapped inside a vehicle someone unscrupulous has control over. deployed in self-driving vehicles The takeaway is that while, yes, you should always be cautious, there’s no need to be paralyzed with fear. Better security measures and protocols are on their way. If you enjoyed this post, you’ll also like these: Is AI Getting Closer to Replacing Jurors? 6 New AI Apps You Don’t Want to Miss Self-Driving Ubers Back on the Road After Arizona Accident How To Immediately Improve Your Cyber Security What Is VoLTE Calling? (It’s More Interesting Than It Sounds) Fitbit to Lay Off More Than 100 Employees Key Points From Last Week’s Google Event What Is Google’s DeepMind? How The Amity App Could Make Messaging Even Easier Sweet Changes Coming With Android’s Nougat OS

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