This work presents a theoretical architecture for continually adapting AI systems organized around three distinct timescales: (1) fast transformer key-value context for immediate interaction, (2) medium-term persistent recurrent memory with decaying importance and consolidation, and (3) slow, controlled parameter adapt...
Chaman Prakash Kanth· Zenodo (CERN European Organi...· 0 citations
Evaluating a language model on a bounded prompt tells us something about its responses under those conditions. It tells us less about a persistent group of agents that remembers previous interactions, uses tools, exchanges messages, and changes a shared environment. Two Emergence World studies provide a useful setting...
Aridio Silva· Zenodo (CERN European Organi...· 0 citations
The shedding frequency behind a cylinder follows from flow speed and diameter. What this paper shows is that the dimensionless combination of the two barely moves across three decades of Reynolds number, and that this is what makes the formula for frequency simple. No new theorem or law is claimed. Scope of this paper...
Yuuki Yamagishi· Zenodo (CERN European Organi...· 0 citations
Artificial intelligence (AI) can advance healthcare analytics by generating predictive insights that extend beyond traditional retrospective reporting. This study examines how machine learning models applied to clinical, operational, and contextual data may identify patient risk factors, forecast disease progression, a...
Justin Pathrose James· Frontiers in Artificial Inte...· 0 citations
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In the Wason selection task the second card people turn is the consequent of the rule itself. Whatever is on its back, it cannot contradict the rule. What each chosen card carries is counted here in bits. No new theorem or law is claimed. Scope of this paper (scope note): No new theorem or law is claimed──the Wason sel...
Yuuki Yamagishi· Zenodo (CERN European Organi...· 0 citations
The speed of light is 299792458 m/s. This paper asks what is recorded by a figure that falls 207542 short of 3x10^8. No new theorem and no new law is claimed. Scope of this paper (scope note): No new theorem and no new law is claimed──that the metre was designed from the meridian, that the speed of light has been a def...
Yuuki Yamagishi· Zenodo (CERN European Organi...· 0 citations
Paper 1055 divided numbers by whether they move when the units are changed──those that move record the history of the units, and those that do not record the world. This paper measures that the fine-structure constant falls into neither box. No new theorem and no new law is claimed. Scope of this paper (scope note): No...
Yuuki Yamagishi· Zenodo (CERN European Organi...· 0 citations
Abstract Electrical submersible pump (ESP) wells often operate without continuous flow metering, forcing engineers to infer rate from sparse tests and noisy telemetry. This study builds a virtual flow metering workflow that predicts daily oil rate directly from ESP operating parameters and explains each prediction usin...
This report describes an instructional system designed to develop basic spoken communication across twelve European languages: Norwegian, Dutch, German, Luxembourgish, French, Spanish, Portuguese, Italian, Romanian, Bulgarian, Russian, and Polish. The system is deliberately narrower than twelve conventional beginner la...
إليك ملخص شامل لكتاب " ، هندسة الذكاء الاصطناعي الحديثة: الشامل في التعلم الآلي والنماذج التوليدية , MLOps" للدكتورة عابدة الحناوي: الفكرة المحورية للكتاب يسد هذا الكتاب الفجوة الكبيرة بين الجانب النظرى الأكاديمي للذكاء الاصطناعي والجانب الهندسي التطبيقي (AI Engineering / MLOps). فهو لا يكتفي بشرح كيفية بناء الخوارزميا...
Abeda Elhenawy· Zenodo (CERN European Organi...· 0 citations
Abstract The increasing complexity of digital circuits has encouraged the use of Artificial Intelligence (AI) in Electronic Design Automation (EDA) to assist with logic synthesis, circuit optimization, and design analysis. Machine learning approaches, including Graph Neural Networks (GNNs) and Reinforcement Learning (R...
Christian Dave Tabarnilla· Zenodo (CERN European Organi...· 0 citations
Digital twin (DT) technologies, tightly coupled with Industry 4.0 methodologies, are emerging as fundamental enablers for innovation and optimization in renewable and low-carbon energy systems. Unlike traditional offline simulation, DTs support a live, bidirectional connection to physical assets and networks, enablin...
Mahmoud AlGaiar, M. Y. Alklih· GOTECH· 0 citations
Exploring how generative AI could make machine vision more accessible to businesses. The post GenEye in a Box: Making Machine Vision Something You Can Just Ask For appeared first on GPT-Lab.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
Training AI agents with reinforcement learning can be challenging because their tools, context, and decision-making are managed by complex frameworks. Agent Lightning connects existing agents to RL training, making it easier to improve them without rebuilding them. The post Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 6, 2026
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
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