Artificial Intelligence (AI) is currently only applied to non-safety critical applications due to the strict standards and regulations for railway industries. We propose to review the three main fields necessary to increase trust in data science and AI algorithms and reach compliance: robustness, Operational Design Dom...
AI is changing what leaders must judge, explain, learn, and coordinate, yet existing measures do not capture these behaviors at the level needed to study leadership in AI-enabled work. We develop the AI Leadership Battery, which organizes 36 behaviorally specific subdimensions into 11 theory-specified content families....
This chapter provides the context and aims of the book and explains the approaches and methodologies adopted throughout the research conducted for the book. In addition, key terms and concepts (e.g., AI, decentralised financial products, etc.) are explained against emerging financial crime risks (FCRs) for society in g...
Adam Abukari, Athina Sachoulidou, Dimitrios Kafteranis et al.· Cambridge University Press e...· 0 citations
This paper applies the ISR/VPR framework (introduced in IVRP-01, DOI: 10.5281/zenodo.22730176) to the non-locality of quantum entanglement. HYPOTHESIS: Distance is a VPR (Visible Phenomenal Realm) concept. The ISR (Invisible Source Realm) contains neither time nor space. Therefore: d_ISR(x,y) = 0 for all x,y in the VPR...
Jinco K.· Zenodo (CERN European Organi...· 0 citations
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This course, called Open as Antidote – addressing the big challenges facing science, was part of the 2026 FORCE11 Scholarly Communication Institute which ran with the theme of 'FSCI2026: Critical Thinking and evolving open scholarship in the era of AI' These blog posts are a series of 'explainer' pre-reading to start p...
Buddy Project Version 5.0 expands the project from a one-to-one human–AI relationship toward Human-Centered Coexistence: an AI living alongside a person and their family while developing distinct relationships with each individual. Version 4.0 focused on Mutual Understanding through long-term relationship, present cont...
保司 細田· Zenodo (CERN European Organi...· 0 citations
Lemon leaf diseases threaten agricultural productivity, yet early detection remains difficult due to subtle lesion patterns and environmental variability. Conventional deep learning models often fail to balance local feature extraction with global context. To address this, we introduce LXViT, a hybrid hierarchical...
The basics of how supply chain management works and the ability of AI-powered models to help optimize various aspects of the supply chain such as demand forecasting, inventory management, procurement, transportation, logistics, and risk management are covered.
Raman Kumar· International Journal of Mod...· 0 citations
Background/Aim: Accurate detection of trace amounts of heavy metal toxins in environmental samples requires sensitive and reliable diagnostic systems. This study presents a machine learning framework to classify synthetic biosensor signals—generated via quantum simulation—representing five toxin classes: Control, Lead,...
Halil İbrahim Sarı, Kübra Keser· Erciyes Üniversitesi Fen Bil...· 0 citations
This case study describes a classification reform at a large urban U.S. public school district of 11,480 employees and $724 million in payroll. An internal pay equity review found pay gaps between demographic groups that job content and tenure did not explain. The gaps came from how jobs had been assigned to titles and...
Wayne Birch· Compensation & Benefits Revi...· 0 citations
Neurocysticercosis (NCC), caused by the larval stage of Taenia solium, remains the most common parasitic infection of the central nervous system and a leading cause of acquired epilepsy worldwide. Despite substantial advances in neuroimaging, diagnosis and prognostic assessment remain challenging because of the heterog...
George Cătălin Moroșan, Roxana Florentina Gavril, Liviu Ciprian Gavril et al.· BRAIN BROAD RESEARCH IN ARTI...· 0 citations
The chapter builds a conceptual framework which comprehensively explains how organizations can design implement and maintain AI-augmented workforce strategies under politically unstable conditions. It integrates perspectives from organizational behavior strategic management and digital transformation to propose adaptiv...
S. K. Mittal, Shubham Kumar· Advances in computational in...· 0 citations
AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post AI Has Grown Up. Have We? appeared first on GPT-Lab.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
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
