Two readings of published instruments, made in September 2026. The first reads four instruments that will oblige deployers to keep recordsagainst a single question: do they require a record to say who authorised aconsequential action, and to be checkable by somebody other than the partythat produced it? The EU AI Act,...
Troy Clifford· Zenodo (CERN European Organi...· 0 citations
Basketball imposes high position-dependent neuromuscular demands that predispose athletes to lower extremity injuries. Machine learning offers the potential to identify multivariable risk-screening patterns that single-threshold approaches miss. This study aimed to (1) compare position-specific lower extremity performa...
Erkan Güven, Sinan Seyhan, Gizem Akarsu Taşman et al.· BMC Sports Science Medicine...· 0 citations
This dataset contains 5,000 manually annotated Bangla-language text instances collected and curated for the detection of racism and body-shaming content on Bangla social media. It accompanies the paper "An Optimized Multi-Transformer Framework with Explainable AI for Racism and Body-Shaming Detection in Bangla Social M...
Shanjida Alam Hena, Antar Sarker, Tanveer Hasan et al.· Mendeley Data· 0 citations
AbstractThe laws of the world are common, but the world does not appear in the same manner to everybearer. This paper explains that difference without treating it as an exception to universal law. Its proposal is that a history of relations with the world folds back into the present as a condition of further formation....
Kimiyasu Igarashi· Zenodo (CERN European Organi...· 0 citations
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Algorithmic recommendation increasingly shapes how educational platforms organize learning resources, distribute attention, and mediate students’ encounters with knowledge, values, and cultural narratives. This article offers a conceptual analysis of algorithmic recommendation in education for fostering a strong sense...
Key findings reveal that current solutions remain fragmented across sensing, fusion, adaptation, and privacy dimensions, and that future research must prioritize unified frameworks jointly addressing multimodal fusion, continual adaptation, edge inference, privacy preservation, and explainability.
Z. Lazrak, A. Bouayad, Marwa Boumaiz· Discover Artificial Intellig...· 0 citations
An explainable mpMRI radiomics framework may provide complementary quantitative information to PI-RADS and clinical variables for prediction of prostate cancer diagnosis and SHAP-based explanations can link model predictions to anatomically plausible imaging characteristics.
Sacheena Kumbara, Sudha Y. Soudi, Pramod Kumar V· EPRA international journal o...· 0 citations
This study critically investigates the evolving role of artificial intelligence (AI) in financial forecasting through a systematic literature review conducted across multiple reputable academic databases, and identifies persistent limitations, including model opacity, data quality concerns, and compliance challenges.
Wasiu Eyinade· World Journal of Finance and...· 0 citations
Artificial Intelligence and Machine Learning for Business Management is an academic textbook that presents an integrated understanding of artificial intelligence (AI), machine learning (ML), business analytics, managerial decision-making, strategy, digital transformation, responsible AI, governance, sustainability, and...
M Loganathan· Zenodo (CERN European Organi...· 0 citations
This Zenodo record is a permanently preserved version of a Structured PREreview. You can view the complete PREreview at https://prereview.org/reviews/22674732. Does the introduction explain the objective of the research presented in the preprint? Yes The introduction clearly identifies the problem of manual batch-data...
Mir Mohammed Abid Ali· Zenodo (CERN European Organi...· 0 citations
Generative artificial intelligence (AI) is increasingly used in travel planning, yet limited research has examined how travelers evaluate AI-generated travel recommendations as an information source. This study examines travelers’ evaluations and behavioral intentions toward such recommendations, extending and contextu...
Cathrine Linnes, Giulio Ronzoni, Jerome Agrusa et al.· Tourism and Hospitality· 0 citations
Mental health disorders represent a significant global public health challenge, and many individuals remain unidentified during the early stages due to limited awareness, social stigma, and restricted access to mental healthcare services. Recent advances in Artificial Intelligence (AI) and Generative AI provide new opp...
Mahrukh Shakoor, Tamim Ahmed Khan, Hina Ghafoor· Discover Psychology· 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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