Artificial intelligence (AI) is increasingly transforming public health from a predominantlyreactive model of treating established disease towards proactive detection, prediction, andprevention. Within hospitals, natural language processing and machine learning can analyseelectronic health records, clinical observation...
Max Van Massey· Zenodo (CERN European Organi...· 0 citations
This research centers on the creation of a "Segmentation-Guided" Explainable Deep Learning system, built specifically to sharpen the accuracy of skin disease detection and fix the "trust gap" currently plaguing digital dermatology. To move past the limitations of typical "black-box" models—where the inner logic is hidd...
Anika Ayesha Azam, Hasan Md. Imrul· Zenodo (CERN European Organi...· 0 citations
Space weather forecasting requires models that are accurate, interpretable, and actionable. This project delivers a set of modular cyberinfrastructure, including models, datasets, and software, for trustworthy solar transient prediction by integrating novel local and global explanations and uncertainty quantification t...
This research presents an AI-based approach for detecting dark patterns in digital interfaces. The proposed framework analyzes textual, visual, and structural elements of websites and applications to identify potentially manipulative design practices. It uses multimodal analysis and explainable AI to provide understand...
Inas Fathima· Zenodo (CERN European Organi...· 0 citations
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While online psychological research relies heavily on paid crowdsourcing platforms (e.g., Prolific, MTurk), existing platform evaluations focus almost exclusively on surface-level task engagement (attention checks, completion time) rather than psychological validity. This paper introduces the distinction between "dolla...
Maria Aleksandrova· Zenodo (CERN European Organi...· 0 citations
T11 of the Transport Papers. Version 1.0. 24 pages. Epistemic status: Tier B. Mass enters a conformally invariant theory where scale does: as coupling to the frozen point, the parallel scale tractor of squared norm Λ/3. We prove the mass-weight dictionary: a density of conformal weight w coupled to the frozen point thr...
Leon Butler· Zenodo (CERN European Organi...· 0 citations
This study examines the effects of AI transparency and privacy control on purchase intention through consumer trust in omnichannel retail. Methods: An explanatory quantitative design was applied to survey data from 100 omnichannel consumers in Yogyakarta City selected through purposive sampling. The reflective measurem...
Salamatun Asakdiyah, Nur Afifah, Hetty Karunia Tunjungsari· Fundamental and Applied Mana...· 0 citations
T11 of the Transport Papers. Version 1.0. 24 pages. Epistemic status: Tier B. Mass enters a conformally invariant theory where scale does: as coupling to the frozen point, the parallel scale tractor of squared norm Λ/3. We prove the mass-weight dictionary: a density of conformal weight w coupled to the frozen point thr...
Leon Butler· Zenodo (CERN European Organi...· 0 citations
This study investigated the effect of Artificial Intelligence (AI) tools on the academic performance of Senior Secondary School students in Economics in selected schools within Kaduna Metropolis, Kaduna State, Nigeria. Adopting a descriptive correlational survey design, data were collected from five hundred (500) Senio...
Ayo David Adeyemi, Chinedu Okocha, Saheed Hammed et al.· Zenodo (CERN European Organi...· 0 citations
This article examines Continuous Governance, Risk, and Compliance (Continuous GRC) as a foundational requirement for autonomous and agentic AI systems. It argues that periodic assessments and retrospective audits are insufficient for systems that continuously interpret goals, delegate authority, invoke tools, access re...
Aridio Silva· Zenodo (CERN European Organi...· 0 citations
Data concepts relevant to AI applications in public health — such as availability, relevance, and representativeness — are usually explained in their general, basic sense for a broad readership of engineers and public health professionals alike, without being organized by what kind of practical failure each one represe...
Min Wu· Zenodo (CERN European Organi...· 0 citations
The implementation of Artificial Intelligence (AI) algorithms in clinical decision support systems (CDSS) and biomedical diagnostics has already shown its impressive potential for positive patient impact. At the same time, there are several challenges that need to be addressed when it comes to the deployment of advance...
Gargi Mishra, Shankar Thalla· International Journal of Sci...· 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.
