In autumn 2026 the Italian government announced a package of measures for advanced robotics and Physical AI: a dedicated fund of 200-300 million euro in the 2027 budget law, the use of Innovation Agreements (Accordi per l'innovazione) as the delivery vehicle, a publicly controlled "chain leader" to aggregate the supply...
Marco Belardi· Zenodo (CERN European Organi...· 0 citations
With the advent of artificial intelligence and deepfake technologies, the modern information landscape is changing, giving rise to realistic synthetic text, images, audio, and videos. Such changes pose significant problems for democratic accountability, because they can skew political discourse, reduce trust in authent...
This record contains the data, code, and results supporting the book chapter "Explainable Agricultural Water-Use Efficiency: Integrating Frontier Analysis with Explainable AI for Environmental Decision Support" by Morteza Yaqubi and Ali Maroosi, prepared for the Elsevier volume Environmental Intelligence: Artificial In...
Yaqubi Morteza, Maroosi Ali· Zenodo (CERN European Organi...· 0 citations
This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23121600. Summary of main findings and contribution This narrative review focuses on an important question: how psychosexual rehabilitation after cancer can be delivered at scale, r...
Ghadeer Asarwi· Zenodo (CERN European Organi...· 0 citations
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This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23121066. Peer Review Preprint Title: Self-Correcting Multimodal AI Agents for Reliable Autonomous Decision-Making Authors: Muhammad Umair Younus, Hammad Muneer, Danial Hameed, and...
Jr. Julian Rodriguez· Zenodo (CERN European Organi...· 0 citations
TechPanda Academy presents a complete guide for Java developers who want to get hired at top technology companies such as Amazon, Microsoft, Google and Meta. The guide explains the interview process step by step, from the recruiter screen and online assessment to the final interview loop, and shows what is tested at ea...
TechPanda Academy· Zenodo (CERN European Organi...· 0 citations
Abstract This study examines how AI governance ethics and algorithmic transparency shape employee trust in, and responsible use of, AI-powered performance management systems (AI-PMS), and whether AI literacy strengthens the transparency–trust link. A convergent parallel mixed-methods design was applied across three CBN...
Ahmed Olakunle Ogungbade, Osimokha Achief Godsent, Adetayo Olaitan Ayanleke et al.· Zenodo (CERN European Organi...· 0 citations
Preprint. Not peer reviewed. Functional Movement Screen (FMS) assessment depends on trained human observation, yet practical video review can be constrained by transient viewing, remote access, repeated manual navigation, qualitative judgments, and the compression of movement into an ordinal 0-3 score. We developed AI-...
Haoran Zhu· Zenodo (CERN European Organi...· 0 citations
Community cloud computing has emerged as an effective deployment model for organizations that share common security policies, governance frameworks, and regulatory requirements while benefiting from collaborative resource sharing. By enabling multiple organizations to utilize a common cloud infrastructure, community cl...
Anand Kumar H, Sunil Kumar, Mustafa Basthikodi· Zenodo (CERN European Organi...· 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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