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2,181 papers
Civil Engineering Explained: Infrastructure, Systems & Built Environment Design is an open educational resource (OER) curriculum module establishing the core engineering principles, mathematical formulations, and contemporary computational paradigms underpinning the modern built environment. The module establishes a ri...
Background: In South Asia, the introduction of artificial intelligence (AI) and robotic technologies in hospitality organizations has created heightened job uncertainty among frontline hotel workers. How AI/robotic awareness, technology-induced anxiety, and turnover intention relate to one another remains unexamined in...
Vitiligo is a chronic autoimmune depigmenting disorder affecting 0.5–2% of the global population. Conventional diagnostic modalities—including visual clinical examination, Wood's lamp assessment, and manual Vitiligo Area Scoring Index (VASI)—are inherently subjective, leading to substantial inter-observer variability a...
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...
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The growing use of artificial intelligence in consumer decision-making has changed the way consumers search for, evaluate, and purchase hospitality services. In Jakarta, where dining options are diverse and highly competitive, this study examines how trust and social influence shape consumers' decisions to use ChatGPT...
The complete codebase and supplementary materials for this study have been archived on Figshare to ensure full reproducibility and to facilitate adoption by other researchers and practitioners. The archive includes all Python scripts used for data preprocessing, model training, hyperparameter tuning, threshold optimisa...
Enterprise AI systems cannot earn stakeholder trust without genuine transparency: the ability to trace reasoning, communicate uncertainty accurately, and adapt explanations to user expertise. This paper presents a framework treating provenance tracking and uncertainty communication as foundational requirements. The fra...
Cambodia’s Green Ledger sets out practical pathways for Cambodia’s ecological transition. It examines fourteen ways to turn pressures on waste, water, energy and forests into services and products that can pay for themselves: refuse-derived fuel for cement kilns, traceable textile offcuts, PET aggregation, insect prote...
. This paper argues that UK public law contains no sufficiently developed principle governing decisions based on machine‑mediated states of affairs: situations in which an automated system does not merely observe or classify the factual basis of a decision, but materially alters that factual basis before supplying the...
The complete codebase and supplementary materials for this study have been archived on Figshare to ensure full reproducibility and to facilitate adoption by other researchers and practitioners. The archive includes all Python scripts used for data preprocessing, model training, hyperparameter tuning, threshold optimisa...
In recent years, the integration of multimodal machine learning in wellbeing assessment has offered transformative potential for monitoring mental health. However, with the rapid advancement of Vision-Language Models (VLMs), their deployment in clinical settings has raised concerns due to their lack of transparency and...
Phishing remains one of the most persistent and financially damaging threats facing modern organizations, with over 4.7 million incidents recorded in 2023 alone. Existing AI-based phishing detection frameworks are constrained by limited benchmarking scope, absent model interpretability, and insufficient statistical...
MIT Statistics and Data Science Center Director Alexander (Sasha) Rakhlin shares important considerations for departments and institutions.
GPT-Lab
· gpt-lab.eu
Oct 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.
By rethinking how large cloud computing systems operate, Associate Professor Christina Delimitrou seeks to make data centers more energy efficient.
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.
An ongoing survey tracks the latest AI accelerator systems to keep hardware relevant for Lincoln Laboratory staff and sponsors.
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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