Preliminary, hypothesis-generating findings suggest ML may predict EV-related toxicities, but single train-test split, small event counts, and lack of external validation preclude clinical use.
K. Sridharan, Mattia Alberto Di Civita, G. Sivaramakrishnan et al.· Expert Review of Anticancer...· 0 citations
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
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
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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