Objective. Structured numeric review and unstructured textual audit evidence remain handled by largely disconnected systems, leaving a persistent gap between flagging an anomalous transaction and grounding that finding in applicable business or regulatory text. This study developed and evaluated a retrieval augmented A...
zhao· Zenodo (CERN European Organi...· 0 citations
If someone challenges an AI-made decision three years from now, could your organisation still show how it was made? For most, the honest answer is no. Models are replaced within a year or two, suppliers change hands, reference data is overwritten — while the decision itself lives on: a refused licence follows a person...
Sanjeet Kumar· Zenodo (CERN European Organi...· 0 citations
This repository contains the research data and supporting code associated with the article “A Mission-Oriented Explainable AI Metric Framework for Autonomous Military UAV Decision Support.” The deposited materials support two components of the study. First, they document the two-stream systematic evidence review used t...
Yu-Shun Wang, Pei-Yin Lin· Zenodo (CERN European Organi...· 0 citations
A conceptual governance framework is developed that explains how explainable AI (XAI) improves algorithmic transparency, enhances consumer understanding, strengthens perceptions of fairness and ultimately builds consumer trust in AI-driven marketing analytics systems.
Jasmeet Kaur· Asia-Pacific Journal of Mana...· 0 citations
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The solar system demands a clock running about 1.5e7 times proper time, a number nothing explained. We show it does not need explaining. The closure's two kinetic coefficients descend from a SINGLE logarithmic function P(X) = -(U/2) log(U - 2 d X) whose pole is a SPEED LIMIT, with 1/m_rel its Lorentz factor; and since...
Carl P. Zimmerman· Zenodo (CERN European Organi...· 0 citations
Analysis code, derived result tables, figures and validation-cohort inputs for a study of non-extensive (Tsallis) statistics in the glioblastoma transcriptome. Expression deviations of each sample are fitted with q-Gaussian laws by maximum likelihood. In a longitudinal GLASS cohort (230 libraries from 115 IDH-wildtype...
Sérgio Assunção Monteiro, Fabrício Alves Barbosa da Silva· Zenodo (CERN European Organi...· 0 citations
This repository contains the research data and supporting code associated with the article “A Mission-Oriented Explainable AI Metric Framework for Autonomous Military UAV Decision Support.” The deposited materials support two components of the study. First, they document the two-stream systematic evidence review used t...
Yu-Shun Wang, Pei-Yin Lin· Zenodo (CERN European Organi...· 0 citations
The handling of acute lymphoblastic leukemia (ALL) which is the most common malignancy in children, depends on a prompt and precise diagnosis. Conventional techniques, such as bone marrow aspiration followed by flow cytometry, provide reliable results but have serious limitations. These include being invasive, requirin...
The solar system demands a clock running about 1.5e7 times proper time, a number nothing explained. We show it does not need explaining. The closure's two kinetic coefficients descend from a SINGLE logarithmic function P(X) = -(U/2) log(U - 2 d X) whose pole is a SPEED LIMIT, with 1/m_rel its Lorentz factor; and since...
Carl P. Zimmerman· Zenodo (CERN European Organi...· 0 citations
Objective. Structured numeric review and unstructured textual audit evidence remain handled by largely disconnected systems, leaving a persistent gap between flagging an anomalous transaction and grounding that finding in applicable business or regulatory text. This study developed and evaluated a retrieval augmented A...
zhao· Zenodo (CERN European Organi...· 0 citations
Accurate wind resource estimation in complex environments, such as the Colombian Caribbean, is challenging due to air–sea heat fluxes and nonlinear atmospheric dynamics. This systematic review and meta-analysis synthesized empirical evidence from 49 studies to evaluate whether advanced forecasting architectures (artifi...
Maryam Carrillo-Reales, Adalberto Ospino-Castro, Diego Restrepo-Leal et al.· Preprints.org· 0 citations
The Framework for Emotional AI Risk (FEAR) Matrix is introduced, which categorizes EAI's psychological threats along two dimensions: Pathways of Harm (mind‐driven vs system‐driven) and Scope of Impact (individual, relational, and cumulative).
Todd C. Haderlie, Anthony D. Miyazaki· Journal of Consumer Behaviou...· 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.
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