What's Changed Fix FX installation and background persistence by @DarlingtonDeveloper in https://github.com/harbor-framework/harbor/pull/2829 Migrate agents to structured capability declarations by @alexgshaw in https://github.com/harbor-framework/harbor/pull/2834 fix(rewardkit): trajectory criteria default to /logs/ag...
Harbor Framework Team· Zenodo (CERN European Organi...· 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...· 12 citations
OCOM, the Object-Centric Operating Model, is an open, technology-independent specification that describes an organization as a system of governed objects carrying identity, ownership, lifecycle and evidence. Everything else an organization produces about itself, dashboards, documents, knowledge graphs, search indexes a...
Denis Petrenko· Zenodo (CERN European Organi...· 0 citations
OCOM, the Object-Centric Operating Model, is an open, technology-independent specification that describes an organization as a system of governed objects carrying identity, ownership, lifecycle and evidence. Everything else an organization produces about itself, dashboards, documents, knowledge graphs, search indexes a...
Denis P.· Zenodo (CERN European Organi...· 0 citations
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This scoping review aims to map the current extent, range, and nature of evidence on the use of artificial intelligence (AI), machine learning, deep learning, radiomics, and radiogenomics applied to medical imaging for the non-invasive prediction or characterization of genomic alterations and molecular phenotypes in pa...
Kalash Dwivedi, Zoha Shaik, Saniya Siddiqua et al.· Open Science Framework· 0 citations
This repository contains the extraction dataset, the explanation-evaluation reclassification, and the association analysis supporting the systematic mapping study of explainable artificial intelligence (XAI) in medicine (383 studies from Q1/Q2-indexed journals, 2020–2025).
Bello Sadeeq· Zenodo (CERN European Organi...· 0 citations
Vasovagal syncope (VVS) is a common cause of transient loss of consciousness and presents diagnostic challenges. The head-up tilt test (HUTT) is the standard method for diagnosis; however, existing approaches often show limited sensitivity, and adoption of Artificial Intelligence (AI)-based tools is constrained by conc...
Mahbuba Ferdowsi, Ban-Hoe Kwan, Maw Pin Tan et al.· BioMedical Engineering OnLin...· 0 citations
Agentic artificial intelligence (AI) is shifting from decision support to autonomous coordination, challenging established assumptions about managerial authority. This qualitative conceptual paper synthesises recent literature in algorithmic management, organisational theory, and human-computer interaction to examine h...
Kwan Hong TAN· Zenodo (CERN European Organi...· 0 citations
Agentic artificial intelligence (AI) is shifting from decision support to autonomous coordination, challenging established assumptions about managerial authority. This qualitative conceptual paper synthesises recent literature in algorithmic management, organisational theory, and human-computer interaction to examine h...
Kwan Hong TAN· Zenodo (CERN European Organi...· 0 citations
Deep learning models hold considerable potential for predicting MCI-to-AD conversion, yet substantial barriers remain to their translation into routine clinical practice, including lack of diverse datasets, overfitting, and poor model interpretability.
Mozhgan Ghasabi, Hadi S. Aghdasi, M. Feizi-Derakhshi· Ageing Research Reviews· 0 citations
This framework proposes a testable approach for future quantification of persistent internal mercury exposure, requiring validation through longitudinal biomonitoring, PBPK calibration, and mechanistic endpoint integration.
G. Sonji, N. Sonji, Afaf El Katerji· Journal of Applied Toxicolog...· 0 citations
These convergent classification, attribution, and nodal-efficiency findings converge on the cerebellum-alongside the thalamus and hippocampus-as explainable-AI-identified regional substrates whose nodal efficiency tracks DSM-5-defined symptom severity in IGD.
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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