The ‘666 = Cleopatra’ calculation: The AI considers this evidence extremely strong Francesco Carotta’s recent use of artificial intelligence to examine his long-standing linguistic and historical hypotheses represents an important shift: it transforms a controversial theory into one that can, at least in principle, be...
A.P.J. Hendriks Francesco Carotta· Zenodo (CERN European Organi...· 0 citations
The automotive electrical/electronic (E/E) architectureis undergoing a fundamental transformation from looselycoupled, function-specific electronic control units (ECUs)toward domain-centralized, zonal, and fully centralizedcomputing architectures, forming the foundation of emerg-ing software-defined vehicles (SDVs). In...
Shirshendu Roy· Zenodo (CERN European Organi...· 0 citations
A platform-agnostic semantic model for intelligent, autonomous, and governed enterprise work: 25 classes and 33 relationships across four layers (Perception, Cognition, Execution, Assurance), including a five-level Assurance Level scale for governed autonomy. Published as a whitepaper and as an OWL 2 ontology with a JS...
Manish Garg· Zenodo (CERN European Organi...· 0 citations
In April 2026, engineers at Northwestern University reported printed artificial neurons that generate electrical signals realistic enough to activate living neurons in mouse brain tissue. This article explains, for a general technical audience, what artificial neurons are and why flexible, biocompatible neural interfac...
Areeba Ghaffar· Zenodo (CERN European Organi...· 0 citations
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This paper reconstructs Ontropy (Ontropi / Yönelim Ontolojisi I) as a systematic philosophical research program centered on the category of ontological orientation. Beginning from a priority argument establishing Being as ontologically prior to certainty, the system poses the classical problem of individuation in forma...
Ali Asaf Karamollaoğlu· Zenodo (CERN European Organi...· 0 citations
The Legal Contract Analyzer — Clause/Risk Highlighter is an AI-powered document analysis system designed to help users understand and review contracts more efficiently. Legal contracts can contain lengthy clauses, complex terminology, obligations, conditions, deadlines, and potential areas of concern. Manually reviewin...
M Swathi, C Nikita, D Radhika et al.· International Journal of Eng...· 0 citations
The results demonstrate that event-aware validation materially strengthens the methodological reliability of post hoc disaster-loss modelling while highlighting persistent limitations in cross-domain transferability and catastrophic-loss prediction.
Teacher education in the Global South faces increasing pressure to integrate advanced digital technologies, yet motivation alone does not guarantee implementation. Grounded in Socio-Technical Systems theory, this study proposes the Socio-Technical Architecture of Teacher Education (STATE) framework to explain this disc...
Sanjay Ranjan, V. P. Joshith· European Journal of Teacher...· 0 citations
The ‘666 = Cleopatra’ calculation: The AI considers this evidence extremely strong Francesco Carotta’s recent use of artificial intelligence to examine his long-standing linguistic and historical hypotheses represents an important shift: it transforms a controversial theory into one that can, at least in principle, be...
A.P.J. Hendriks Francesco Carotta· Zenodo (CERN European Organi...· 0 citations
Urban flooding is escalating because of climate change, rapid urbanization, land-use change, and inadequate drainage, demanding advanced spatial decision-support systems. Geospatial Artificial Intelligence (GeoAI), integrating GIS, remote sensing, and deep learning, has become a powerful approach for flood risk assessm...
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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