A full overview of AI-based DDI prediction, including information like, but not limited to, publicly available resources for AI-DDI study, approaches for data handling and feature preprocessing, explainable Artificial Intelligence (XAI) schemes that improve trust toward an approach based on other XAI methods that contr...
Esraa Sameer Zbari, S. Al-darraji· Iraqi Journal for Computers...· 0 citations
A cuscuton-clock sector coupled to matter disformally along the clock's own unit timelike direction gives a post-Newtonian gamma of exactly one with no added vector field. Boosted, the same coupling gives alpha_1 = 8 f_s, five orders over the bound unless local matter drags the clock into its own rest frame to within 4...
Carl P. Zimmerman· Zenodo (CERN European Organi...· 0 citations
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
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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
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
MIT professors Adam Berinsky and Chara Podimata discuss a new project to track how AI chatbots are responding to questions about the 2026 U.S. midterm elections.
Microsoft Research Blog· microsoft.comOct 30, 2026
Evaluating Microsoft Copilot at enterprise scale requires test data that captures the full complexity of real organizations, yet real enterprise data contains sensitive information that cannot be used for evaluation under any circumstances. The post From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence appeared first on Microsoft Research.
Critical flaws, compromised release channels and agentic AI threats landed within days of each other in mid-October 2026. Why “Black October” may say more about how well we now find weaknesses than about the attacks themselves. The post Black October? The Week AI Changed the Cybersecurity Conversation appeared first on GPT-Lab.
Microsoft Research Blog· microsoft.comOct 29, 2026
Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.
