Novelty lies in a production-centered, theory-consistent pathway from domain-specific AI-art literacy to an authentic, rubric-and-logs outcome via visual-language proficiency, with VR presence as a boundary condition, delivered through a reflective-formative PLS-SEM architecture and a large, multi-city Chinese sample.
The article argues that AI may inform clinical judgment without acquiring morally exhaustive authority over the person to whom healthcare remains answerable and concludes that AI may inform clinical judgment without acquiring morally exhaustive authority over the person to whom healthcare remains answerable.
Jaybee S. Cabañeros· Journal of religion and heal...· 0 citations
This review synthesizes current molecular insights, evaluates the limitations of existing therapies, and explores the potential of multi-omics profiling integrated with artificial intelligence (AI) to decode complex signatures for improved subtype classification, treatment response prediction, and survival prognosticat...
Qiu-Yu Zhang, Wei Fang, Yan-Yan Liu· European Journal of Haematol...· 0 citations
The Chinese version of the Generative Artificial Intelligence (AI) Dependency Scale is a useful assessment tool for determining generative AI dependency among Chinese university students because it shows strong validity, reliability, and measurement invariance.
Yi-Han Deng, Juan Wen, Ai-Lian Pang et al.· Acta Psychologica· 0 citations
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This work proposes ScopeMamba-YOLO, built around an off-path, zero-gated selective-scanning principle that decouples contextual modeling from the convolutional stream, and shows consistent improvements on AI-TOD, especially for very-tiny and tiny objects.
Jun-Jie Fan, Yi-Jun Mai, Lin-Duo Wei et al.· 0 citations
This work introduces AutoScreen, an AI co-scientist system supporting target discovery through both Pre-screen Design, which constructs perturbation libraries de novo from free-text research descriptions, and Post-screen Analysis, which re-ranks experimental screen hits by integrating statistical scores with biological...
Yuan-Hao Qu, Xu-Feng Liu, Xiao-Tong Wang et al.· bioRxiv· 0 citations
🚀 Release v1.0.0 — Official Research Implementation This is the initial official release providing the complete, reproducible source code and experimental pipeline for the research paper: "A Hybrid CNN-LSTM Framework for Global Renewable Energy Forecasting: Integrating Socio-Economic Drivers, Explainability, and a Cas...
younesassini1998-ai· Zenodo (CERN European Organi...· 0 citations
This paper develops a theoretical model of how responsibility structures may come under pressure for reconfiguration as non-human reactive entities—including generative AI, autonomous control systems, recommendation algorithms, and other computational systems—participate continuously in social operations. Rather than a...
Kouhei Misugi· Zenodo (CERN European Organi...· 0 citations
Unit IV – AI in Research, Generative AI and Prompt Engineering is an Open Educational Resource (OER) presentation developed for the undergraduate AI Fundamentals course. This presentation introduces the use of Artificial Intelligence in experimentation and multidisciplinary research, followed by the fundamentals of Gen...
Venkata Krishnaveni Chennuru· Zenodo (CERN European Organi...· 0 citations
AI assistants increasingly refer to information they ostensibly retain from earlier sessions. A remembered preference can signal attentiveness, whereas a reference to stress or late-night behavior can feel intrusive. Existing accounts of personalization and privacy do not fully explain why these cues elicit opposing re...
Polycystic Ovarian Disease (PCOD) has remained one of the most common endocrine diseases in women of childbearing age in the world. Although it is common, the heterogeneous symptoms, subjective clinical criteria, and sociocultural barriers to care impede the early diagnosis of the disorder. The convergence of AI techno...
Priyanka Kaushik, S Saravana Kumar, G Sunil et al.· 0 citations
Artificial Intelligence is transforming Anti-Money Laundering enforcement by enabling proactive detection, real-time surveillance, and data-driven decision-making across financial & criminal justice institutions.The present study examines how AI capabilities in anomaly detection, risk scoring, network analysis, and aut...
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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