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ISO and IEC Make Foundational Standard on Artificial Intelligence Publicly Available Hello, everyone! The International Organisation for Standardization (ISO) and the International Electrotechnical Commission (IEC) have made ISO/IEC 22989, a critical AI standard, accessible to the public. This foundational standard defines over 110 essential AI concepts, including 'datasets', 'AI agents', 'transparency', and 'explainability'. ISO/IEC 22989 provides conceptual guidance for Natural Language Processing (NLP) and Computer Vision (CV) models. Its goal is to establish a shared vocabulary, terminology, and framework for AI concepts, promoting fruitful discussions among stakeholders. Here's a snapshot of key definitions: - AI System - Artificial General Intelligence (AGI) - AI Auditor - Robustness - Explainability - Predictability - Transparency - Trustworthiness As AI regulations surge worldwide, standardization becomes a vital need, especially in the absence of global alignment in regulatory language. #AIStandards#AI#ISO#IEC#AICommunity

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AI Companies: The Future is Here! AI firms could replace traditional companies sooner than expected, as seen in predictions by Y Combinator. Key points include: 1. Talent Cloning: AI can replicate top engineers without long training. 2. Unified Intelligence: AI leadership can instantly share knowledge across copies. 3. Rapid Evolution: Successful processes can be cloned and adapted immediately. 4. Fast Decision-Making: AI can analyze market scenarios in minutes. The shift to AI-led companies may redefine competition and business dynamics. 👉Read more Stay updated! 💡 #AI#Crypto#VC#BTC#ETH#ETF#Liquidity#MarketTrends#Business#FutureTech#Investment#Finance

English Court of Appeal Decides Artificial Neural Network is Not Patentable In a landmark decision, the English Court of Appeal has ruled that an artificial neural network (ANN) is not patentable, reversing the High Court’s earlier decision. This decision aligns with the UK Intellectual Property Office’s (IPO) initial rejection of the patent application on the grounds of unpatentable subject matter. The case, Comptroller-General of Patents, Designs and Trade Marks v Emotional Perception AI Ltd [2024] EWCA Civ 825, highlighted key issues about the nature of ANNs and their patentability. The Court clarified that both hardware and software ANNs are considered computers and that their "weights and biases" are equivalent to a computer program. This means they fall under the computer program exclusion from patentability unless they can demonstrate a "technical contribution" outside the computer program itself. Importantly, the Court concluded that the training of the ANN, as part of the program's creation, does not constitute a technical contribution. Additionally, the outputs of the ANN, such as improved music recommendations, were deemed non-technical and subjective, thus not contributing to the patentability of the AI system. This decision has significant implications for the patent claims of generative AI systems, where training is a crucial part of development. #AI#PatentLaw#GenerativeAI#IntellectualProperty#TechnologyLaw#AIRegulation#UKLaw

🇪🇺Klarna’s AI Shift: From Automation Gains to Human Rehire Klarna’s CEO Sebastian Siemiatkowski recently confirmed that the company reduced its workforce by 40%, largely due to AI implementation, including a ChatGPT-powered customer service assistant that replaced the work of 700 agents. The move showcased productivity boosts, with even the CEO’s quarterly update delivered by an AI avatar. Yet, the shift came at a cost. In a recent Bloomberg interview, Siemiatkowski admitted that quality suffered under full AI automation. Klarna now plans to rehire human agents in a flexible, “Uber-style” model. The pivot highlights a critical inflection point for companies: AI can scale operations—but not always without sacrificing service standards. #AI#AIEthics#ResponsibleAI#Klarna#Automation#AIWorkforce

#The_Foreign_Affairs🇺🇸📕[PDF]⬇️ #November2025 #December2025 #Monthly_Magazines For learning, for free(dom). @backupofmagazines The new Foreign Affairs explores “The New Tools of Power.” Michael Beckley warns of a #StagnantOrder as rising powers falter, while Oren Cass calls for a U.S. #GrandStrategy of reciprocity. Essays trace new #SupplyChain risks, the weaponization of #Energy, and a global #AI innovation race. From Iran’s political twilight to a reshaped #EurasianOrder, contributors dissect shifting power balances. Features probe how Russia is adapting, why China is turning on itself, and the #XiJinping paradox of success. Reviews challenge the fate of the #Dollar and the future of FreeSpeech. #Geopolitics#ForeignPolicy#China#US#AI

With Spatial Intelligence, AI Will Understand the Real World | Fei-Fei Li | TED @TED In the beginning of the universe, all was darkness — until the first organisms developed sight, which ushered in an explosion of life, learning and progress. AI pioneer Fei-Fei Li says a similar moment is about to happen for computers and robots. She shows how machines are gaining "spatial intelligence" — the ability to process visual data, make predictions and act upon those predictions — and shares how this could enable AI to interact with humans in the real world. #YouTube#liked#TEDTalk#TEDTalks#TED_Talk#TED_Talks#TED#technology#computers#innovation#robots#AI#machine_learning#tech#Fei_Fei_Li

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AI21 представила Jamba 3B - компактную модель, которая обошла Qwen 3 4B и IBM Granite 4 Micro по качеству рассуждений. Более высокая эффективность, в сравнении с AI21 - 2–5× улучшение в производительности по сравнению с конкурентами за счёт меньшего KV-кэша и гибридной архитектуры. Секрет в архитектуре: 🔹 сочетание Transformer attention и Mamba state-space слоёв. 🔹 Mamba-часть эффективно обрабатывает длинные последовательности без тяжёлых attention-кэшей, 🔹 а Transformer-слои сохраняют способность к сложным рассуждениям. Результат, модель кушает меньше памяти, выдает высокую скорость и плавно работает даже на ноутбуках, GPU и мобильных устройствах. 📏 Контекст: до 256K токенов. ⚡ Скорость: около 40 токенов/сек даже на длинных контекстах, тогда как другие модели резко замедляются. На графике “интеллект против скорости” Jamba 3B опережает Gemma 3 4B, Llama 3.2 3B и Granite 4.0 Micro, демонстрируя высший интеллект и более быструю генерацию. 🟢Подробнее: huggingface.co/ai21labs/AI21-Jamba-Reasoning-3B @ai_machinelearning_big_data #AI#LLM#Jamba3B#AI21#Mamba#Transformer#DeepLearning

International Guidance Released on Secure AI Deployment The US National Security Agency’s (NSA) Artificial Intelligence Security Center (AISC) in collaboration with the Cybersecurity & Infrastructure Security Agency (CISA), the Federal Bureau of Investigation (FBI), the Australian Signals Directorate’s Australian Cyber Security Centre (ASD ACSC), the Canadian Centre for Cyber Security (CCCS), the New Zealand National Cyber Security Centre (NCSC-NZ), and the United Kingdom’s National Cyber Security Centre (NCSC-UK) released joint guidance on Deploying AI Systems Securely. This guidance outlines best practices for deploying and using externally developed AI systems. The aim of the guidance is to: ✅ Improve the confidentiality, integrity, and availability of AI systems. ✅ Ensure there are appropriate mitigations for known vulnerabilities in AI systems. ✅ Provide methodologies and controls to protect, detect, and respond to malicious activity against AI systems and related data and services. The guidance covers a wide range of topics, from securing the deployment environment to protecting the operating AI system and securing AI operations and maintenance. The three overarching best practices outlined in the guidance are: ✅ secure the deployment environment, ✅ continuously protect the AI system, and ✅ secure AI operation and maintenance. The release of this guidance is an important step in ensuring the safe and secure deployment of AI systems. Understanding and implementing the recommendations outlined in it can help organizations mitigate AI risks and build trust in this powerful technology. #AI#Security#Cybersecurity#CISA#NSA