🤖 NEURAL FOUNDATION MODELS, GENERALIZATION & PERSONAL REPRESENTATION AT THE LIMIT Foundation Models, Cross-Subject Transfer, Personal Neural Models, Brain-State Embeddings, Uncertainty, and the Emerging Science of Generalizable Neural Representation Can neural representations generalize without erasing individual biol...
Résumé FRCe document, produit avec l’assistance de ChatGPT 5.2 Thinking et Gemini 3 Raisonnement, est publié sous licence Apache 2.0. Il constitue une publication défensive (antériorité) et entre de ce fait dans l’état de la technique au sens des législations applicables : (EPC Art. 54(2); French IPC Art. L 611-11; cf....
Xavier Pillet· Zenodo (CERN European Organi...· 0 citations
🤖 AI, DIGITAL TWINS & COMPUTATIONAL LONGEVITY AT THE LIMIT Artificial Intelligence, Personal Digital Twins, Causal Simulation, Single-Cell Models, Virtual Trials, and the Future of Computational Healthspan Engineering Can we test part of a 30-year longevity intervention before waiting 30 years? This flagship research...
CONCEPT NOTE Directed Research Architecture (DRA): From Fragmented Research to Cumulative Strategic Knowledge Complex strategic problems increasingly generate research across multiple disciplines, institutions and methodological traditions. However, the accumulation of individual studies does not necessarily produce cu...
JAMEL DOURA· Zenodo (CERN European Organi...· 0 citations
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Can defensive behavior in multiagent optimization emerge through evolutionary competition rather than being pre-installed? We study this question in open, adversarial environments where agents can enter, leave, or be compromised, and where the global optimum drifts continuously as the agent pool changes, thereby creati...
Haoran Zhang, Lining Xing· Swarm and Evolutionary Compu...· 0 citations
The current trend of the Internet of Medical Things (IoMT) has facilitated intelligent healthcare, including real-time monitoring, remote diagnosis, and data-driven clinical decision support. This substantially increases the attack surfaces of medical cyber–physical systems. As a privacy-conserving paradigm, Federated...
Arooj Unbreen, Huma Naeem, Syed Rizwan Hassan et al.· Discover Artificial Intellig...· 0 citations
Raw results and figures for the paper Schema-Augmented LLM Prompting for Converting ML Training Scripts to Federated Learning Clients (ACM TOSEM, resubmission 2026). v2.0 adds the corrected reruns (validator stage classification, sample-weighted FedAvg simulations, overall and macro accuracy) and the resubmission exper...
Yen‐Jung Chiu· Zenodo (CERN European Organi...· 0 citations
🤖 NEURAL FOUNDATION MODELS, GENERALIZATION & PERSONAL REPRESENTATION AT THE LIMIT Foundation Models, Cross-Subject Transfer, Personal Neural Models, Brain-State Embeddings, Uncertainty, and the Emerging Science of Generalizable Neural Representation Can neural representations generalize without erasing individual biol...
VertiMosaic v0.1.0 First public PyPI release of VertiMosaic, a CPU-first vertical federated learning research framework for heterogeneous tabular data. Install: pip install vertimosaic Hugging Face Dataset: https://huggingface.co/datasets/sauravsingla08/VertiMosaic-VFL-Benchmark Hugging Face Space: https://huggingface....
Saurav Singla· Zenodo (CERN European Organi...· 0 citations
Résumé FRCe document, produit avec l’assistance de ChatGPT 5.2 Thinking et Gemini 3 Raisonnement, est publié sous licence Apache 2.0. Il constitue une publication défensive (antériorité) et entre dans l’état de la technique au sens des législations applicables (EPC Art. 54(2); French IPC Art. L 611-11; cf. 35 U.S.C. §1...
Xavier Pillet· Zenodo (CERN European Organi...· 0 citations
🤖 NEURAL FOUNDATION MODELS, GENERALIZATION & PERSONAL REPRESENTATION AT THE LIMIT Foundation Models, Cross-Subject Transfer, Personal Neural Models, Brain-State Embeddings, Uncertainty, and the Emerging Science of Generalizable Neural Representation Can neural representations generalize without erasing individual biol...
CONCEPT NOTE Directed Research Architecture (DRA): From Fragmented Research to Cumulative Strategic Knowledge Complex strategic problems increasingly generate research across multiple disciplines, institutions and methodological traditions. However, the accumulation of individual studies does not necessarily produce cu...
JAMEL DOURA· Zenodo (CERN European Organi...· 0 citations
Students in MIT’s Concourse program delve deeply into the human condition, debate challenging questions, and learn to develop judgment about issues that can’t be quantified.
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
