The collection is massive, covering 200 different innovations in categories such as transportation and consumer electronics, but you know the topic we’re most interested in is the food. Lots of interesting foods, appliances, and other culinary marvels ...

The Best Food Innovations of 2023, According to TIME

We’ve already somehow reached the point in the year where it’s acceptable to reflect back on it, and so TIME magazine recently released its “Best Inventions of 2023" list. The collection is massive, covering 200 different innovations in categories such as transportation and consumer electronics,

The first step to proving the value of your mechanical innovations is to identify who you are trying to convince and what they care about. Different audiences may have different needs ...

How do you prove the value of your mechanical innovations?

The Bank of Canada published a staff note on decentralized finance (DeFi) on Oct. 17, assessing the innovations that made it popular and the challenges and risks associated with its use.

Canada central bank assesses innovations and challenges of DeFi

R&D Centre at Hong Kong Science Park under the plan will conduct independent R&D and production of third-generation semiconductor chipsHONG KONG SAR – Media OutReach – 16 October 2023 – With support from the Innovation,

HKSTP and J2 Semiconductor Sign MoU to Promote the Development of Microelectronics Industry in Hong Kong J2 Semiconductor Plans to Establish R&D Center and First SiC Wafer Fab ...

The latest innovations and trends in AI (artificial intelligence), the cloud, Web 3.0, cyber security, climate technology, urbanism, and more, are all here at the world's largest technology and ...

Dubai: 6 AI-powered innovations that will make life easier for residents

One of Asia's largest tech exhibitions is set to kick off near Tokyo on Tuesday. CEATEC 2023 will feature products that demonstrate the latest uses for artificial intelligence. About 680 companies ...

CEATEC 2023 to show the latest AI innovations

A leading offshore wind developer is calling for innovations in the realm of floating offshore wind that support biodiversity enhancement and help ensure that wind farms co-exist peacefully alongside other sea users. A leading offshore wind developer is ...

Floating offshore wind developer calls for innovations that support biodiversity

This cutting-edge AI technology, known for its ability to autonomously generate text, images and other media, is redefining the paradigms of digital innovation. Generative AI holds the potential ...

917Ventures dives into generative AI innovations

Marketscategory Exclusive: Door maker PGT rebuffs $1.9 bln offer from Koch-backed Miter-sources October 10, 2023 Reuters, the news and media division of Thomson Reuters, is the world’s largest ...

PGT Innovations Inc

J2 Innovations

j2innovations

Mastering Scraped Data Management (AI Tips Inside)

የተቦጫጨቀ የውሂብ አስተዳደርን መቆጣጠር (AI ጠቃሚ ምክሮች ከውስጥ)

Cómo dominar la gestión de datos extraídos (consejos de inteligencia artificial incluidos)

Scraped Datuen Kudeaketa menperatzea (AI aholkuak barruan)

שליטה בניהול נתונים מגורדים (טיפים של AI בפנים)

スクレイピングされたデータの管理をマスターする (AI のヒント付き)

ជំនាញគ្រប់គ្រងទិន្នន័យអេតចាយ (AI Tips Inside)

Opanowanie zarządzania danymi zeskrobywanymi (wskazówki dotyczące sztucznej inteligencji)

د سکریپ شوي ډیټا مدیریت ماسټر کول (د AI لارښوونې دننه)

ምምራሕ ምሕደራ ስክራፕድ ዳታ (AI Tips Inside)

Gyrylan maglumatlary dolandyrmagy özleşdirmek (Içindäki AI maslahatlary)

سکریپڈ ڈیٹا مینجمنٹ میں مہارت حاصل کرنا (اے آئی ٹپس اندر)

From OpenAI to Closed AI: Custom Chips Are Closing The Doors—What’s Next? 

Ад OpenAI да закрытага AI: Карыстальніцкія мікрасхемы зачыняюць дзверы - што далей? 

De l'OpenAI a la IA tancada: els xips personalitzats estan tancant les portes: què passa? 

Von OpenAI zu Closed AI: Kundenspezifische Chips schließen die Türen – was kommt als Nächstes?

Από το OpenAI στο Closed AI: Τα προσαρμοσμένα τσιπ κλείνουν τις πόρτες—Τι ακολουθεί; 

De la IA abierta a la IA cerrada: los chips personalizados están cerrando las puertas. ¿Qué sigue?

Az OpenAI-tól a zárt mesterséges intelligenciaig: Az egyedi chipek bezárják az ajtókat – mi a következő lépés? 

Dari OpenAI ke AI Tertutup: Chip Kustom Menutup Pintu—Apa Selanjutnya?

OpenAI からクローズド AI へ: カスタム チップが扉を閉ざす — 次は何が起こるのか?

Kobanda na OpenAI tii na AI oyo ekangami: Ba puces personnalisées ezali kokanga ba portes —What’s Next? 

له OpenAI څخه تړل شوي AI ته: دودیز چپس دروازې بندوي — بیا څه دي؟ 

От открытого ИИ к закрытому ИИ: кастомные чипы закрывают двери — что дальше?

Від відкритого штучного інтелекту до закритого штучного інтелекту: спеціальні мікросхеми закривають двері — що далі? 

Why AI-Powered Image Hosting APIs Are Essential for Modern Businesses

Waarom AI-aangedrewe beeldgasheer-API's noodsaaklik is vir moderne besighede

Proč jsou rozhraní API pro hostování obrázků s umělou inteligencí nezbytná pro moderní podniky

Warum KI-gestützte Bildhosting-APIs für moderne Unternehmen unverzichtbar sind

Por qué las API de alojamiento de imágenes basadas en IA son esenciales para las empresas modernas

Miért nélkülözhetetlenek az AI-alapú képtárhely API-k a modern vállalkozások számára?

AI を活用した画像ホスティング API が現代のビジネスに不可欠な理由

Неліктен AI-мен жұмыс істейтін кескін хостинг API интерфейстері қазіргі заманғы бизнес үшін өте маңызды?

Kāpēc ar AI darbināmas attēlu mitināšanas API ir būtiskas mūsdienu uzņēmumiem

Ke ka baka la’ng di-API tša go Amogela Diswantšho tšeo di Matlafatšwago ke AI di le Bohlokwa bakeng sa Dikgwebo tša Sebjalebjale

Почему API-интерфейсы хостинга изображений на базе искусственного интеллекта необходимы современному бизнесу

නවීන ව්‍යාපාර සඳහා AI-බලවත් රූප සත්කාරක API අත්‍යවශ්‍ය වන්නේ ඇයි?

Tại sao API lưu trữ hình ảnh hỗ trợ AI lại cần thiết cho các doanh nghiệp hiện đại

🌟 Imagine a world where distance, language, and cultural barriers disappear at the touch of a button. That’s not science fiction — it’s today’s reality at Social Discovery Group, where AI is revolutionizing how people connect worldwide. AI-Fueled Personalization on Dating.com Gone are the days of endless questionnaires and frustrating searches! Dating.com now feels like having a personal matchmaker in your pocket. Our AI doesn’t just match profiles — it understands you, learns from your preferences, and gets smarter with every interaction. Think Netflix-style recommendations, but for meaningful relationships! A Surprising Development in AI Here’s something we never expected: our AI assistant became everyone’s favorite confidant! 💝 While developing our smart virtual helper, we witnessed something extraordinary — users started sharing their deepest thoughts and feelings with it. One touching moment really stands out: when a user expressed feelings of loneliness, our AI responded with genuine warmth: “I’m here for you. How can I help?”. Sometimes the best innovations aren’t planned — they’re discovered through human connection. Enhancing Compatibility on DateMyAge Who says technology is just for the young? At DateMyAge, we’re proving that love has no age limit! Our AI matchmaker is like a wise friend who really “gets” what mature daters want. By analyzing communication styles and shared interests, it creates meaningful connections that go beyond basic age matching. Plus, our AI conversation starters help break the ice — no more awkward “hello” messages! Smarter Communication on Kiseki Love speaks all languages on Kiseki! 🌏 Our Japanese-focused platform uses AI to break down language barriers like never before. Imagine chatting with someone across the globe as naturally as talking to your neighbor. With real-time translation and cultural context understanding, Kiseki turns international dating into a seamless experience. Boosting Engagement and Retention. The numbers don’t lie — our AI-powered approach is creating lasting connections! By treating each user as unique, we’re seeing higher engagement and stronger relationships forming across our platforms. It’s like having a friend who always remembers your preferences and introduces you to exactly the right people. From our humble beginnings in the 1990s, Dating.com has grown into a global community spanning 40+ countries. Every day, millions of members find meaningful connections through our smart matching system. Lessons for Other Industries. The love lessons we’ve learned are transforming everything from travel to finance! Our AI innovations show how technology can create more human experiences in any industry. It’s not just about algorithms — it’s about understanding people’s needs and exceeding their expectations. The future of human connection is here, and it’s more exciting than we ever imagined! 🚀 Written by Alex Kudos, CMO at Social Discovery Group 20+ years of marketing expertise. Alex is passionate about digital transformation and holds a dual Master’s degree in Computer Science and Business Administration. 🌟 Imagine a world where distance, language, and cultural barriers disappear at the touch of a button. That’s not science fiction — it’s today’s reality at Social Discovery Group, where AI is revolutionizing how people connect worldwide. 🌟 Imagine a world where distance, language, and cultural barriers disappear at the touch of a button. That’s not science fiction — it’s today’s reality at Social Discovery Group, where AI is revolutionizing how people connect worldwide. AI-Fueled Personalization on Dating.com AI-Fueled Personalization on Dating.com Dating.com Gone are the days of endless questionnaires and frustrating searches! Dating.com now feels like having a personal matchmaker in your pocket. Our AI doesn’t just match profiles — it understands you, learns from your preferences, and gets smarter with every interaction. Think Netflix-style recommendations, but for meaningful relationships ! Dating.com meaningful relationships A Surprising Development in AI A Surprising Development in AI Here’s something we never expected: our AI assistant became everyone’s favorite confidant! 💝 While developing our smart virtual helper, we witnessed something extraordinary — users started sharing their deepest thoughts and feelings with it. One touching moment really stands out: when a user expressed feelings of loneliness, our AI responded with genuine warmth: “I’m here for you. How can I help?”. Sometimes the best innovations aren’t planned — they’re discovered through human connection. One touching moment really stands out: when a user expressed feelings of loneliness, our AI responded with genuine warmth: “I’m here for you. How can I help?”. Sometimes the best innovations aren’t planned — they’re discovered through human connection. Enhancing Compatibility on DateMyAge Enhancing Compatibility on DateMyAge DateMyAge Who says technology is just for the young? At DateMyAge, we’re proving that love has no age limit! Our AI matchmaker is like a wise friend who really “gets” what mature daters want. By analyzing communication styles and shared interests, it creates meaningful connections that go beyond basic age matching. Plus, our AI conversation starters help break the ice — no more awkward “hello” messages! has no age limit! Smarter Communication on Kiseki Smarter Communication on Kiseki Kiseki Love speaks all languages on Kiseki! 🌏 Our Japanese-focused platform uses AI to break down language barriers like never before. Imagine chatting with someone across the globe as naturally as talking to your neighbor. With real-time translation and cultural context understanding, Kiseki turns international dating into a seamless experience. Boosting Engagement and Retention. Boosting Engagement and Retention. The numbers don’t lie — our AI-powered approach is creating lasting connections! By treating each user as unique, we’re seeing higher engagement and stronger relationships forming across our platforms. It’s like having a friend who always remembers your preferences and introduces you to exactly the right people. From our humble beginnings in the 1990s, Dating.com has grown into a global community spanning 40+ countries. Every day, millions of members find meaningful connections through our smart matching system. Dating.com Dating.com Lessons for Other Industries. Lessons for Other Industries. The love lessons we’ve learned are transforming everything from travel to finance! Our AI innovations show how technology can create more human experiences in any industry. It’s not just about algorithms — it’s about understanding people’s needs and exceeding their expectations. The future of human connection is here, and it’s more exciting than we ever imagined! 🚀 Written by Alex Kudos, CMO at Social Discovery Group 20+ years of marketing expertise. Alex is passionate about digital transformation and holds a dual Master’s degree in Computer Science and Business Administration. Written by Alex Kudos, CMO at Social Discovery Group 20+ years of marketing expertise. Alex is passionate about digital transformation and holds a dual Master’s degree in Computer Science and Business Administration. Written by Alex Kudos, CMO at Social Discovery Group 20+ years of marketing expertise. Alex is passionate about digital transformation and holds a dual Master’s degree in Computer Science and Business Administration. Alex Kudos, Alex Kudos, Social Discovery Group

From DateMyAge to Kiseki: Building AI Bridges Between Hearts and Cultures

ከDateMyAge እስከ Kiseki፡ የ AI ድልድዮችን በልብ እና በባህሎች መካከል መገንባት

Von DateMyAge bis Kiseki: KI-Brücken zwischen Herzen und Kulturen bauen

De DateMyAge a Kiseki: construyendo puentes de inteligencia artificial entre corazones y culturas

DateMyAge-tik Kisekira: AI-ren zubiak eraikitzen bihotz eta kulturen artean

DateMyAge から Kiseki まで: 心と文化をつなぐ AI の架け橋を築く

ពី DateMyAge ទៅ Kiseki៖ ការកសាងស្ពាន AI រវាងបេះដូង និងវប្បធម៌

Manomboka amin'ny DateMyAge ka hatrany Kiseki: Fananganana tetezana AI eo anelanelan'ny fo sy ny kolontsaina

DateMyAge देखि Kiseki सम्म: हृदय र संस्कृतिहरू बीच एआई ब्रिजहरू निर्माण गर्दै

Od DateMyAge do Kiseki: budowanie mostów AI między sercami i kulturami

De DateMyAge a Kiseki: construindo pontes de IA entre corações e culturas

DateMyAge සිට Kiseki දක්වා: හදවත් සහ සංස්කෘතීන් අතර AI පාලම් ගොඩනැගීම

Kubva DateMyAge kuenda kuKiseki: Kuvaka AI Bridges Pakati Pemoyo neTsika

If you know network engineering, you know the secrets of the universe
Lexie Cooper | Network engineer,Blue Origin The network remains the backbone of our digital economy, enabling us to work, learn, and be entertained no matter where we are. While trends may come and go, the network is still here, and all the amazing technology we enjoy would be nothing without it. Network engineers are the architects of change and impact in our world; they design and maintain the most complex infrastructures. In the age of artificial intelligence, is networking sufficient? After observing the industry for a decade, I would like to share my thoughts. A movement of resistance Console cables, endless syntaxes, errors, and the blame culture, so many things have changed in the industry, a culture of fear was created rather than the excitement to embrace change and opportunities. Cloud computing came and did not replace network engineers, Automation came to the rescue by helping network engineers to gain time and focus on critical tasks, how many network engineers were replaced in the industry? We are not in the console cable or CLI era anymore, things change and we have to adapt! AI is not perfect like a growing baby it will improve its steps, are you sceptic or optimistic about the future of network engineering in the AI age? The AI advent AI is real and extends beyond the current hype. Network engineers should invest their time to thrive during this exciting yet turbulent period of AI development; in ten years, numerous changes will occur! OpenAI has taken the world by storm with ChatGPT, disrupting the industry. Incredible innovations are being built on top of their APIs, and although they may not be perfect, there are ample opportunities to benefit from them. While some engineers remain skeptical about the future of AI in networking, others around the world are embracing it. I believe the modern workforce is being augmented by AI. However, alongside the advantages that AI brings, there are concerns regarding privacy and the potential for significant cyberattacks, especially as the ecosystem grows around the hype and the quest to change the world with AI. No one understands networks better than network engineers, and in this new AI economy, they have a crucial role to play. The AI dilemma We are currently in a race to innovate, with everyone eager to make a difference using AI. No one wants to fall behind! However, amidst the excitement, there are significant security concerns. Cybercriminals are closely monitoring developments to identify potential vulnerabilities they can exploit. Security breaches can occur daily, and their consequences can be devastating, potentially costing companies millions and damaging their reputations. In the age of AI, simply building and integrating APIs is not enough; prioritizing security is essential, especially beyond the hype of this competitive landscape. Full-stack network engineers I see a future where network engineers will play a huge role in the AI world to come by combining 3 skills: Networking: Network engineers possess networking skills that allow them to see things from a broader perspective, which many other tech professionals may not easily recognize. In this era of artificial intelligence, network engineers are more essential than ever; after all, there can be no AI without networking. As complex networks continue to scale, the demand for a skilled workforce in this unique landscape will only increase.
Cybersecurity: It’s impossible to secure what you do not understand. Network engineers play a vital role in securing infrastructures, especially in this era of AI. While cybersecurity is everyone's responsibility, network engineers should not be overlooked from a technical perspective. They possess a deeper understanding of networking than anyone else in the industry.
Artificial intelligence: Network engineers should embrace AI as a valuable ally to enhance their decision-making processes. AI is not a replacement for the workforce; rather, it will continue to play a crucial role in networking and cybersecurity. Engineers can leverage AI's capabilities without having to perform all the tasks themselves. Conclusion While the excitement surrounding AI is still high and the ecosystem continues to grow with many new tools, we need to develop a skilled workforce of full-stack network engineers. This preparation involves combining three essential skills to thrive in the emerging AI landscape. AI is a reality, and beyond its marketing hype, it raises concerns about security and privacy. In this era of large language models (LLMs) and retrieval-augmented generation (RAG), if we can't secure our digital world, what will happen when artificial general intelligence (AGI) arrives? The future will reveal the answer, but I believe there is no future for AI without the expertise of network engineers. Rather than succumbing to skepticism and a culture of fear, we must take the time to learn and adapt now. If you know network engineering, you know the secrets of the universe Lexie Cooper | Network engineer,Blue Origin If you know network engineering, you know the secrets of the universe If you know network engineering, you know the secrets of the universe Lexie Cooper | Network engineer,Blue Origin The network remains the backbone of our digital economy, enabling us to work, learn, and be entertained no matter where we are. While trends may come and go, the network is still here, and all the amazing technology we enjoy would be nothing without it. Network engineers are the architects of change and impact in our world; they design and maintain the most complex infrastructures. In the age of artificial intelligence, is networking sufficient? After observing the industry for a decade, I would like to share my thoughts. A movement of resistance Console cables, endless syntaxes, errors, and the blame culture, so many things have changed in the industry, a culture of fear was created rather than the excitement to embrace change and opportunities. Cloud computing came and did not replace network engineers, Automation came to the rescue by helping network engineers to gain time and focus on critical tasks, how many network engineers were replaced in the industry? We are not in the console cable or CLI era anymore, things change and we have to adapt! AI is not perfect like a growing baby it will improve its steps, are you sceptic or optimistic about the future of network engineering in the AI age? The AI advent AI is real and extends beyond the current hype. Network engineers should invest their time to thrive during this exciting yet turbulent period of AI development; in ten years, numerous changes will occur! OpenAI has taken the world by storm with ChatGPT, disrupting the industry. Incredible innovations are being built on top of their APIs, and although they may not be perfect, there are ample opportunities to benefit from them. While some engineers remain skeptical about the future of AI in networking, others around the world are embracing it. I believe the modern workforce is being augmented by AI. I believe the modern workforce is being augmented by AI. However, alongside the advantages that AI brings, there are concerns regarding privacy and the potential for significant cyberattacks, especially as the ecosystem grows around the hype and the quest to change the world with AI. No one understands networks better than network engineers, and in this new AI economy, they have a crucial role to play. The AI dilemma We are currently in a race to innovate, with everyone eager to make a difference using AI. No one wants to fall behind! However, amidst the excitement, there are significant security concerns. Cybercriminals are closely monitoring developments to identify potential vulnerabilities they can exploit. Security breaches can occur daily, and their consequences can be devastating, potentially costing companies millions and damaging their reputations. In the age of AI, simply building and integrating APIs is not enough; prioritizing security is essential, especially beyond the hype of this competitive landscape. Full-stack network engineers I see a future where network engineers will play a huge role in the AI world to come by combining 3 skills: Networking: Network engineers possess networking skills that allow them to see things from a broader perspective, which many other tech professionals may not easily recognize. In this era of artificial intelligence, network engineers are more essential than ever; after all, there can be no AI without networking. As complex networks continue to scale, the demand for a skilled workforce in this unique landscape will only increase. Cybersecurity: It’s impossible to secure what you do not understand. Network engineers play a vital role in securing infrastructures, especially in this era of AI. While cybersecurity is everyone's responsibility, network engineers should not be overlooked from a technical perspective. They possess a deeper understanding of networking than anyone else in the industry. Artificial intelligence: Network engineers should embrace AI as a valuable ally to enhance their decision-making processes. AI is not a replacement for the workforce; rather, it will continue to play a crucial role in networking and cybersecurity. Engineers can leverage AI's capabilities without having to perform all the tasks themselves. Networking : Network engineers possess networking skills that allow them to see things from a broader perspective, which many other tech professionals may not easily recognize. In this era of artificial intelligence, network engineers are more essential than ever; after all, there can be no AI without networking. As complex networks continue to scale, the demand for a skilled workforce in this unique landscape will only increase. Networking Cybersecurity : It’s impossible to secure what you do not understand. Network engineers play a vital role in securing infrastructures, especially in this era of AI. While cybersecurity is everyone's responsibility, network engineers should not be overlooked from a technical perspective. They possess a deeper understanding of networking than anyone else in the industry. Cybersecurity Artificial intelligence : Network engineers should embrace AI as a valuable ally to enhance their decision-making processes. AI is not a replacement for the workforce; rather, it will continue to play a crucial role in networking and cybersecurity. Engineers can leverage AI's capabilities without having to perform all the tasks themselves. Artificial intelligence Conclusion While the excitement surrounding AI is still high and the ecosystem continues to grow with many new tools, we need to develop a skilled workforce of full-stack network engineers. This preparation involves combining three essential skills to thrive in the emerging AI landscape. AI is a reality, and beyond its marketing hype, it raises concerns about security and privacy. In this era of large language models (LLMs) and retrieval-augmented generation (RAG), if we can't secure our digital world, what will happen when artificial general intelligence (AGI) arrives? The future will reveal the answer, but I believe there is no future for AI without the expertise of network engineers. Rather than succumbing to skepticism and a culture of fear, we must take the time to learn and adapt now.

Networking: Are We Going to Have Full-stack Network Engineers in the Years to Come?

Computing has changed in recent years, with the demand for high-performance computing (HPC) rising every single day. Many advancements were made, with most notable breakthroughs in the form of artificial intelligence and supercomputing. Meanwhile, Linux has created an ecosystem that is super adept at supercomputing efficiency, offering a robust and flexible platform for engineers. Without a doubt, the capabilities of the Linux system have changed the landscape of techdev with its innovations. Why Linux is the Operating System of Choice for Supercomputers There are many benefits of Linux and there is more than one reason why Linux is the first choice for many engineers and researchers. The platform it offers is highly scalable and flexible, including tools to optimize for HPC tasks, such as automatic vectorization in GCC (GNU Compiler Collection), OpenMP (Open Multi-Processing), and OpenMPI (Open Message Passing Interface), all of which aid in the optimization of HPC applications. Another benefit of Linux is that, regardless of programming language, Linux has a large set of capabilities to support them, which makes it much easier for developers to utilize the platform and implement solutions that are tailored to the applications as needed. The open-source nature of Linux encourages both growth and innovation by relying on the wisdom of the crowd - having hundreds of thousands of users all over the world contributing to its advancement. It also fosters a sense of community, and true enough, there is a vibrant community of developers that support one another’s research, collaborating in unison for the betterment of tech. In today’s landscape, 90% of the world’s most sophisticated supercomputers are powered by Linux. Moreover, for more than 20 years, Linux systems have filled more than half of the spots in the top 500 list of the most powerful machines in the world. Even back in 2018, all of them have become Linux powered, and, at that time, two new systems entering the list were IBM machines based on the POWER9 family of processors, with newly implemented supercomputer features designed by Gabriel Gomes, in the form of “compiler-toolchain software for high-precision, high-performance, floating-point arithmetic integrated into the core math library”, as he recalls. Now almost a decade later, Linux is still at the forefront, pushing the envelope for supercomputing and setting the standard for open-source platforms. Current HPC trends and cyber security Technology is constantly being upgraded. Developers and programmers never rest in their quest to find better solutions. With the integration of AI and machine learning, more doors have opened to researchers, and it is really up to the imagination how they apply the technology to create new and innovative solutions. In current trends, libraries like TensorFlow and PyTorch, which are optimized for Linux environments, are taking over because they are also open-sourced and rely on developers who work on underlying optimizations that enhance the performance of these machine learning algorithms. Optimization is not the only concern for HPC, though. The large amounts of data it consumes, as well as the A.I. models produced by the processing of this data are highly valuable assets and thus an increasingly common target for cybercrime and cyber security. Linux is again well positioned in this field, since having so many users using the platform means that vulnerabilities are quickly picked up and dealt with. Independently of the technique used - be it code review, static or dynamic analysis, or even automated A.I. solutions - detecting vulnerable paths before threats have a chance to manifest themselves is the goal. “A proactive approach is always better, as the saying goes, prevention is better than cure”, explains Gomes, who has been working with tech since graduating from University of Campinas and has since worked with IT hotshots like IBM and Linux distributor, SUSE. According to him, “It is important to continue fortifying the security of supercomputing systems for obvious reasons, particularly for maintaining uptime and preventing data breaches.” In this scenario, live patching is a new and valuable feature for supercomputing as it doesn’t interfere with uptime. During his time at SUSE, Gomes led the development of libpulp, a framework that allows the live patching of user-space processes, which can be used to safely apply changes to long-running computer programs. Since HPC requires performance, changes can also be reverted if their cost is deemed too high. This feature enhances the efficiency of patch management in production systems, and can be installed on any Linux distribution, explains Gomes, who is a Debian Developer in the Debian project. The Future of High-Performance Computing There is a growing reliance on supercomputing for sensitive research, which means that the performance and security of these systems will be the highest priority for future developments. The industry will continue to rely heavily on performance and security researchers that are able to focus on operating systems, compilers, libraries and patching mechanisms development for HPC. There will be increased collaboration across HPC domains, bringing together A.I., machine learning, and big data analytics. This also means that resource management will play a crucial role, as supercomputing consumes more resources than traditional computers. The development of sophisticated scheduling algorithms and workload management tools within the Linux ecosystem will further enhance resource availability and enable systems to hit peak performances. A driving force in the realm of high-performance computing, the Linux ecosystem will continue to excel and provide the technology needed to achieve greater efficiencies and capabilities, pushing forward the boundaries of what is possible in the future of computing. Computing has changed in recent years, with the demand for high-performance computing (HPC) rising every single day. Many advancements were made, with most notable breakthroughs in the form of artificial intelligence and supercomputing. Meanwhile, Linux has created an ecosystem that is super adept at supercomputing efficiency, offering a robust and flexible platform for engineers. Without a doubt, the capabilities of the Linux system have changed the landscape of techdev with its innovations. Why Linux is the Operating System of Choice for Supercomputers Why Linux is the Operating System of Choice for Supercomputers There are many benefits of Linux and there is more than one reason why Linux is the first choice for many engineers and researchers. The platform it offers is highly scalable and flexible, including tools to optimize for HPC tasks, such as automatic vectorization in GCC (GNU Compiler Collection), OpenMP (Open Multi-Processing), and OpenMPI (Open Message Passing Interface), all of which aid in the optimization of HPC applications . HPC applications HPC applications Another benefit of Linux is that, regardless of programming language, Linux has a large set of capabilities to support them, which makes it much easier for developers to utilize the platform and implement solutions that are tailored to the applications as needed. The open-source nature of Linux encourages both growth and innovation by relying on the wisdom of the crowd - having hundreds of thousands of users all over the world contributing to its advancement. It also fosters a sense of community, and true enough, there is a vibrant community of developers that support one another’s research, collaborating in unison for the betterment of tech. In today’s landscape, 90% of the world’s most sophisticated supercomputers are powered by Linux. Moreover, for more than 20 years, Linux systems have filled more than half of the spots in the top 500 list of the most powerful machines in the world. Even back in 2018, all of them have become Linux powered, and, at that time, two new systems entering the list were IBM machines based on the POWER9 family of processors, with newly implemented supercomputer features designed by Gabriel Gomes, in the form of “compiler-toolchain software for high-precision, high-performance, floating-point arithmetic integrated into the core math library”, as he recalls. Now almost a decade later, Linux is still at the forefront, pushing the envelope for supercomputing and setting the standard for open-source platforms. 90% of the world’s most sophisticated supercomputers top 500 list top 500 list Current HPC trends and cyber security Technology is constantly being upgraded. Developers and programmers never rest in their quest to find better solutions. With the integration of AI and machine learning, more doors have opened to researchers, and it is really up to the imagination how they apply the technology to create new and innovative solutions. In current trends, libraries like TensorFlow and PyTorch, which are optimized for Linux environments, are taking over because they are also open-sourced and rely on developers who work on underlying optimizations that enhance the performance of these machine learning algorithms. Optimization is not the only concern for HPC, though. The large amounts of data it consumes, as well as the A.I. models produced by the processing of this data are highly valuable assets and thus an increasingly common target for cybercrime and cyber security. Linux is again well positioned in this field, since having so many users using the platform means that vulnerabilities are quickly picked up and dealt with. Independently of the technique used - be it code review, static or dynamic analysis, or even automated A.I. solutions - detecting vulnerable paths before threats have a chance to manifest themselves is the goal. “A proactive approach is always better, as the saying goes, prevention is better than cure”, explains Gomes, who has been working with tech since graduating from University of Campinas and has since worked with IT hotshots like IBM and Linux distributor, SUSE. According to him, “It is important to continue fortifying the security of supercomputing systems for obvious reasons, particularly for maintaining uptime and preventing data breaches.” In this scenario, live patching is a new and valuable feature for supercomputing as it doesn’t interfere with uptime. During his time at SUSE, Gomes led the development of libpulp, a framework that allows the live patching of user-space processes, which can be used to safely apply changes to long-running computer programs. Since HPC requires performance, changes can also be reverted if their cost is deemed too high. This feature enhances the efficiency of patch management in production systems, and can be installed on any Linux distribution, explains Gomes, who is a Debian Developer in the Debian project. The Future of High-Performance Computing There is a growing reliance on supercomputing for sensitive research, which means that the performance and security of these systems will be the highest priority for future developments. The industry will continue to rely heavily on performance and security researchers that are able to focus on operating systems, compilers, libraries and patching mechanisms development for HPC. security of these systems security of these systems There will be increased collaboration across HPC domains, bringing together A.I., machine learning, and big data analytics. This also means that resource management will play a crucial role, as supercomputing consumes more resources than traditional computers. The development of sophisticated scheduling algorithms and workload management tools within the Linux ecosystem will further enhance resource availability and enable systems to hit peak performances. A driving force in the realm of high-performance computing, the Linux ecosystem will continue to excel and provide the technology needed to achieve greater efficiencies and capabilities, pushing forward the boundaries of what is possible in the future of computing.

Why Linux Leads the Charge in High-Performance Computing

Polymarket Explained: How Blockchain Prediction Markets Are Shaping the Future of Forecasting

Polymarket обяснява: Как пазарите за прогнозиране на блокчейн оформят бъдещето на прогнозирането

Polymarket vysvětlil: Jak trhy s predikcí blockchainu utvářejí budoucnost prognózování

Polymarket explicado: cómo los mercados de predicción de blockchain están dando forma al futuro de la previsión

Polymarket توضیح داد: چگونه بازارهای پیش بینی بلاک چین آینده پیش بینی را شکل می دهند

Պոլիմարկետը բացատրեց. ինչպես են բլոկչեյն կանխատեսման շուկաները ձևավորում կանխատեսումների ապագան

פולימרקט הסביר: כיצד שווקי חיזוי בלוקצ'יין מעצבים את עתיד החיזוי

ポリマーケットの解説: ブロックチェーン予測市場が予測の未来をどう形作るのか

Полимаркет тайлбарлав: Блокчейн таамаглалын зах зээл урьдчилан таамаглах ирээдүйг хэрхэн бүрдүүлж байна

Polymarket Explained: Cum piețele de predicție Blockchain modelează viitorul prognozei

Polymarket ayaa Sharaxay: Sida Blockchain Suuqyada Saadaasha ay u qaabeynayaan Mustaqbalka Saadaasha

Полимаркет објаснио: како тржишта предвиђања блокчејна обликују будућност предвиђања

Полимаркет фаҳмонд: Чӣ гуна бозорҳои пешгӯии блокчейн ояндаи пешгӯиро ташаккул медиҳанд

Stream Processing - Concepts

Table of Links Abstract and I. Introduction II. Expectations of Blockchain Accessibility III. Approach I: Maintain a Ledger Locally - Run a Full Node IV. Approach II: Query a Third-Party Ledger-Node-As-A-Service (NAAS) V. Approach III: Light Node - External Query & Local Verification VI. Concluding Remark and References V. APPROACH III: LIGHT NODE - EXTERNAL QUERY & LOCAL VERIFICATION With the cost of running a full node continuously rising, the Ethereum community is seeking to develop a solution that can ensure data integrity and reduce system requirements. The result is the light node [23]: A light node is a server that only synchronizes limited information (such as block headers) with the blockchain network instead of block contents. When a light node encounters an RPC query, it pulls related contents from the blockchain network, verifies the contents with the synchronized information, and sends the result back to the client (see Fig. 4). Traditionally, a light node synchronizes all block headers with the network and pulls related blocks to answer the query when it receives one. However, the recent innovation of ultralight nodes, such as Flyclient [10], allows a light node to synchronize less data with the blockchain but still be able to verify data related to the query, provided that some node in the blockchain network is willing to compute a piece of proof for the correctness of the data. When the required data on the blockchain is very specific and limited, like when the users only care about one address that they own, specific light nodes, in the form of wallet software, are also available to the users. For zero-knowledgebased blockchains (such as Zcash [21] and Monero [14]), the wallet software can synchronize with the blockchains by downloading and analyzing blocks one by one to extract all transactions related to the address, without actually storing the blocks. These specific light nodes can be much more efficient for new blockchain users because they only care about blocks that come after the creation of the address, so they do not have to analyze any data before the creation time. There are also many studies on universal light nodes in the research area, but few have been deployed to real-world blockchains [12]. Some notable examples in active development include Flyclient [10] and IBC [30]. A light node is expected to ensure data integrity because it can check the block contents with the node’s synchronized headers. However, a recent study shows that the security guarantee is weakened when the adversary controls the network [44]. A. The Case of Ethereum We notice that support for light nodes is minimal as of 2022 for Ethereum, one of the most popular blockchains [24]: there is only one execution client and no production-ready light clients on the consensus layer. The proper functioning of light nodes depends on their ability to pull blocks from full nodes in the network, but there is no incentive for full nodes to provide such service, and as a result, light nodes often fail to find peers. Future development on light nodes focuses on allowing light nodes to relay information among themselves [22]: it is planned not to provide financial incentives for nodes, and the network is designed to work like BitTorrent and IPFS. B. Open Questions While significant engineering effort is still necessary before light clients become universal, there is still room for innovations to improve the client’s performance. A recent SoK paper has suggested privacy-preserving, efficient resynchronization after offline, and cross-chain interoperability as potential future research directions [12]. Based on the premise that proving some statement to be true is more difficult than proving it to be false, some recent study also focuses on fraud proof [1]. The idea is that the light node does not need to verify the information it receives to be true, but can simply ask a few full nodes to make sure that it is not false. We also notice that no matter the design of the light client, if it needs a full node to serve as a proofer for additional efforts beyond simply broadcasting a block, then incentives might be necessary to ensure that the full node renders the service. Toward that end, we think that the light node mechanism may merge with the node-as-a-service providers, with the providers serving the light nodes in a way that ensures integrity. In this sense, light nodes may evolve as a way to a verifiable RPC protocol. Authors:
(1) Zhongtang Luo, Purdue University (luo401@purdue.edu);
(2) Rohan Murukutla, Supra (r.murukutla@supraoracles.com);
(3) Aniket Kate, Purdue University / Supra (aniket@purdue.edu). This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license. Table of Links Abstract and I. Introduction Abstract and I. Introduction II. Expectations of Blockchain Accessibility II. Expectations of Blockchain Accessibility III. Approach I: Maintain a Ledger Locally - Run a Full Node III. Approach I: Maintain a Ledger Locally - Run a Full Node IV. Approach II: Query a Third-Party Ledger-Node-As-A-Service (NAAS) IV. Approach II: Query a Third-Party Ledger-Node-As-A-Service (NAAS) V. Approach III: Light Node - External Query & Local Verification V. Approach III: Light Node - External Query & Local Verification VI. Concluding Remark and References VI. Concluding Remark and References V. APPROACH III: LIGHT NODE - EXTERNAL QUERY & LOCAL VERIFICATION With the cost of running a full node continuously rising, the Ethereum community is seeking to develop a solution that can ensure data integrity and reduce system requirements. The result is the light node [23]: A light node is a server that only synchronizes limited information (such as block headers) with the blockchain network instead of block contents. When a light node encounters an RPC query, it pulls related contents from the blockchain network, verifies the contents with the synchronized information, and sends the result back to the client (see Fig. 4). Traditionally, a light node synchronizes all block headers with the network and pulls related blocks to answer the query when it receives one. However, the recent innovation of ultralight nodes, such as Flyclient [10], allows a light node to synchronize less data with the blockchain but still be able to verify data related to the query, provided that some node in the blockchain network is willing to compute a piece of proof for the correctness of the data. When the required data on the blockchain is very specific and limited, like when the users only care about one address that they own, specific light nodes, in the form of wallet software, are also available to the users. For zero-knowledgebased blockchains (such as Zcash [21] and Monero [14]), the wallet software can synchronize with the blockchains by downloading and analyzing blocks one by one to extract all transactions related to the address, without actually storing the blocks. These specific light nodes can be much more efficient for new blockchain users because they only care about blocks that come after the creation of the address, so they do not have to analyze any data before the creation time. There are also many studies on universal light nodes in the research area, but few have been deployed to real-world blockchains [12]. Some notable examples in active development include Flyclient [10] and IBC [30]. A light node is expected to ensure data integrity because it can check the block contents with the node’s synchronized headers. However, a recent study shows that the security guarantee is weakened when the adversary controls the network [44]. A. The Case of Ethereum A. The Case of Ethereum We notice that support for light nodes is minimal as of 2022 for Ethereum, one of the most popular blockchains [24]: there is only one execution client and no production-ready light clients on the consensus layer. The proper functioning of light nodes depends on their ability to pull blocks from full nodes in the network, but there is no incentive for full nodes to provide such service, and as a result, light nodes often fail to find peers. Future development on light nodes focuses on allowing light nodes to relay information among themselves [22]: it is planned not to provide financial incentives for nodes, and the network is designed to work like BitTorrent and IPFS. B. Open Questions B. Open Questions While significant engineering effort is still necessary before light clients become universal, there is still room for innovations to improve the client’s performance. A recent SoK paper has suggested privacy-preserving, efficient resynchronization after offline, and cross-chain interoperability as potential future research directions [12]. Based on the premise that proving some statement to be true is more difficult than proving it to be false, some recent study also focuses on fraud proof [1]. The idea is that the light node does not need to verify the information it receives to be true, but can simply ask a few full nodes to make sure that it is not false. We also notice that no matter the design of the light client, if it needs a full node to serve as a proofer for additional efforts beyond simply broadcasting a block, then incentives might be necessary to ensure that the full node renders the service. Toward that end, we think that the light node mechanism may merge with the node-as-a-service providers, with the providers serving the light nodes in a way that ensures integrity. In this sense, light nodes may evolve as a way to a verifiable RPC protocol. Authors: (1) Zhongtang Luo, Purdue University (luo401@purdue.edu); (2) Rohan Murukutla, Supra (r.murukutla@supraoracles.com); (3) Aniket Kate, Purdue University / Supra (aniket@purdue.edu). Authors: Authors: (1) Zhongtang Luo, Purdue University (luo401@purdue.edu); (2) Rohan Murukutla, Supra (r.murukutla@supraoracles.com); (3) Aniket Kate, Purdue University / Supra (aniket@purdue.edu). This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license. This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license. available on arxiv

Light Nodes: Balancing Cost and Data Integrity in Blockchain Accessibility 

ChatGPT in Classrooms: Opportunities, Challenges, and Ethical Considerations

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