This dataset record contains the curated brain MRI dataset, implementation code, and supporting research materials associated with the study entitled "Explainable Hybrid Swin-Unet for Trustworthy Multi-Class Brain Tumor Classification". The resource includes a reorganized four-class brain MRI dataset containing 10,456...
M Asif Chishti, Mehwish Iqbal· Zenodo (CERN European Organi...· 0 citations
This dataset record contains the curated brain MRI dataset, implementation code, and supporting research materials associated with the study entitled "Explainable Hybrid Swin-Unet for Trustworthy Multi-Class Brain Tumor Classification". The resource includes a reorganized four-class brain MRI dataset containing 10,456...
M Asif Chishti, Mehwish Iqbal· 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
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
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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
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
The MIT professors collaborated to identify the first AI-discovered antibiotic, a scientific breakthrough that is widely recognized as a milestone in AI-driven drug discovery.
MIT News · Artificial Intelligence· news.mit.eduOct 30, 2026
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.
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.
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