This research addresses the following specific theoretical deficiency: while existing resilience frameworks do indeed consider the process of recovery or adaptation of crisis systems at the level of individuals, they fail to explain the ways in which human–artificial intelligence (AI) hybrid networks create emergen...
S. Sheela, Aranganathan Posarajan· Kybernetes· 0 citations
Artificial intelligence (AI) is increasingly embedded in organizational processes, challenging established assumptions about decision-making in project environments. Prior research has predominantly conceptualized AI either as a decision-support tool or as a substitute for human judgment, thereby overlooking the so...
A low-cost, off-the-shelf ultrasonic microphone installed inside the build chamber is demonstrated as a practical alternative for capturing high-resolution acoustic signals during LPBF, and acoustic-based models achieve low-latency inference, suitable for in-process monitoring, paving the way for adaptive corrective co...
Ayyoub Ahar, S. Hedayatrasa, Cyril Blanc et al.· Euro PM2026 Proceedings· 0 citations
AI offers considerable potential to reduce costs, increase diagnostic accuracy, personalize care and expand access to quality services, provided its deployment overcomes technical, ethical and regulatory barriers through proactive, adaptive and patient-centered governance.
Laura Beatriz Fernández Feitó, Mariam Alejandra González González, Andy Alonso Pazos et al.· SAP Social AI· 0 citations
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This review synthesizes four recent studies spanning these strands, together with the broader literature on multi-agent orchestration, retrieval-augmented generation (RAG), large-language-model (LLM)-based knowledge-graph construction, and explainable AI, to build a unified picture of agentic AI as applied to intellige...
Subina S. B., A. B., Sania Jackson et al.· International Journal for Re...· 0 citations
The proposed XAI-Driven Dynamic Evaluation Framework offers an effective decision-support tool for curriculum optimization, educational quality enhancement, and sustainable Industry 4.0 workforce development, thereby strengthening the alignment between higher education outcomes and evolving industrial requirements.
NORMA is presented, an interactive web application that translates Article 10's qualitative requirements into measurable thresholds grounded in the fairness and data-quality literature, integrates a large language model for context-sensitive interpretation, and produces an explainable, per-dimension compliance report t...
Elisabetta Arba, A. Berardi, Bedilia Estrada-Torres et al.· 0 citations
This workflow provides a practical, interpretable, and capillary electrophoresis-compatible solution for forensic biogeographical ancestry inference and micro-genetic structure mapping.
Mei-Ming Cai, Lisiteng Luo, Yue Liu et al.· Cell Reports· 0 citations
A mixed-methods study of the implementation of a patient-friendly results tool in oncology provider workflows to facilitate improved communication of radiology results to oncology patients to close an important oncology care gap.
M. R. Baumann, H. J. Barton, P. Voorheis et al.· medRxiv· 0 citations
Modern applications of AI rely on increasingly complex models. Explainable AI (XAI) has emerged as a set of techniques aimed at improving model transparency. However, existing XAI methods typically assume input features to be inherently interpretable, or they rely on intermediate internal abstractions that are difficul...
T. Schnake, Doreen Schöppenthau, Alexander Meyer et al.· 0 citations
AI is already writing a majority of code for frontier AI labs. This creates a safety risk if there is insufficient human oversight. Existing work proposes minimum comprehension thresholds and unaided checks to mitigate this. To our knowledge, however, there is currently no published frontier-AI assurance regime that re...
Ronald J. Bodkin, B. Sokhansanj, Gillian K. Hadfield· 0 citations
Generative AI speeds, and mostly improves, professional work, but there is concern that users who delegate both the production and the evaluation of an answer may accept weak output and engage less with the underlying reasoning (cognitive surrender). Interventions proposed so far, such as unassisted practice or slowing...
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.
