AI transparency and bias mitigation are reframed as governance and organizational control mechanisms, rather than mere technical features, which demonstrates that organizational ethical culture acts as a key informal context, shaping whether customers view these mechanisms as credible signals of fairness and accountabi...
M. Ehsan, Abid Hussain, Jing Song et al.· International Journal of Eth...· 0 citations
In external validation, interpretable models substantially outperformed established HF risk scores for short- and long-term mortality and simultaneously localised correctable therapeutic gaps, supporting a prediction-to-action tool deployable with ten bedside variables.
S. M. Jauhari, Wai-Lok Yeung, T. Li et al.· medRxiv· 0 citations
An XAI-based anomaly detection framework tailored for DER networks (ExCYDER) that distinguished between coherent and inconsistent alerts without compromising detection accuracy, demonstrating that integrated verification within XAI-based ADS enhances interpretability, auditability, and operational robustness for DER-fo...
D. Popoola, S. Bhattacharya, M. Govindarasu· IEEE Power & Energy Society...· 1 citation
This paper presents ClimateGuard, a localized, explainable, multi-hazard climate risk prediction system integrating satellite-derived geospatial indicators, real-time meteorological data, and machine learning for climate hazard forecasting. The system combines Random Forest and XGBoost models with environmental and dis...
Zainab Travadi· Zenodo (CERN European Organi...· 0 citations
Reach audiences
Advertise in front of researchers, engineers, and readers.
Objective: Artificial intelligence (AI) is increasingly being explored as a support tool in forensic medicine and medicolegal practice, where objective, reproducible, and timely interpretation of complex evidence is essential. This narrative review aimed to evaluate current applications of AI in forensic medicine and t...
Emre Yuluğ· European Journal of Therapeu...· 0 citations
Correction notice (v1.5). This version demotes a claim. Clause (iii) of Theorem 3.7 -- the match between the CC-channel connection-coefficient ratio and the Riemann--Hilbert datum of P_V/D_5^(1) at the V_quad tau parameter -- was stated as part of a theorem through v1.4. It is not a theorem of this paper and is recorde...
papanokechi papanokechi· Zenodo (CERN European Organi...· 0 citations
Data concepts relevant to AI applications in public health — such as availability, relevance, and representativeness — are usually explained in their general, basic sense for a broad readership of engineers and public health professionals alike, without being organized by what kind of practical failure each one represe...
Min Wu· Zenodo (CERN European Organi...· 0 citations
This collection records a literature-linked research programme on the Riemann zeta function and its explicitly constructed geometric, arithmetic and fluid interfaces. The September 12 calculation edition adds a complete reader for the Split-Zero programme: scalar algebra, support fibres, Rees filtrations, the actual ar...
KokunoYumeto· Zenodo (CERN European Organi...· 0 citations
The expanding use of intelligent and non-intelligent data-driven tools across technology-mediated environments has improved operational efficiency while increasing the legal significance of errors in data acquisition, processing, state detection, and automated execution. Building on the “Theory of Intelligent and Non-I...
Mohammad Mahdi Varposhti Borujeni· Zenodo (CERN European Organi...· 0 citations
The integration of Geographic Information Systems (GIS) and Artificial Intelligence (AI) has created transformative opportunities for tourism destination planning. This paper presents the GeoAI Tourism Intelligence Framework (GTIF), a conceptual framework integrating geospatial big data, AI algorithms, and spatial anal...
Huseyin Kaya· International Journal For Mu...· 0 citations
The expanding use of intelligent and non-intelligent data-driven tools across technology-mediated environments has improved operational efficiency while increasing the legal significance of errors in data acquisition, processing, state detection, and automated execution. Building on the “Theory of Intelligent and Non-I...
Mohammad Mahdi Varposhti Borujeni· Zenodo (CERN European Organi...· 0 citations
This paper presents ClimateGuard, a localized, explainable, multi-hazard climate risk prediction system integrating satellite-derived geospatial indicators, real-time meteorological data, and machine learning for climate hazard forecasting. The system combines Random Forest and XGBoost models with environmental and dis...
Zainab Travadi· Zenodo (CERN European Organi...· 0 citations
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
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.
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
