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2,337 papers
This comprehensive review evaluates the current landscape of digital health in cardiometabolic care and highlights the evolving capabilities of AI in outperforming traditional risk models, extracting high-dimensional patterns from multimodal data, and powering clinical decision support systems through electronic medica...
This review critically analyzes the cybersecurity research published over the past few years on cyber threats across the various layers of the IIoT architecture, publicly available cybersecurity datasets, evaluation practices, and AI-based intrusion detection methods to provide a pathway toward resilient, adaptive, and...
A conceptual framework that connects academic locus of control, technology use, and language learning motivation in the English as a foreign language context is proposed and argues that an internal orientation encourages the agentic behaviour through which learners seek out and continue using digital learning tools.
Digital inclusion, smart cities, generative AI, citizen engagement, public service delivery, and digital governance emerged as prominent themes, whereas explainable AI, privacy, cybersecurity, and human-centered design remained peripheral.
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Validity for AI-based assessment should be approached as ongoing governance of a sociotechnical system rather than one-time validation of a static instrument or assessment process, according to Kane's four inferences.
Experimental results indicate that the proposed framework achieves high diagnostic accuracy while providing interpretable insights that assist dermatologists in understanding model predictions.
This work focuses on consequential scientific questions whose results directly shape people's lives and study them through a public water-quality communication system, where residents and community leaders interpret the findings and choose actions.
This comprehensive review on animal behavior intelligent monitoring aims to systematically summarize the latest advanced technological frontiers of advanced artificial intelligence in animal behavior monitoring, also to identify the research challenges and explore future research directions in this field.
A pooled prevalence figure for small fibre pathology in fibromyalgia is therefore not currently interpretable; a standardised case definition is a prerequisite for meaningful synthesis.
CERVEX enables auto- mated analysis of cervical cytology microscope fields by linking cell classification, computation-linked spatial evidence, and in- terpretable numerical morphology indices in one pipeline.
It is demonstrated that multimodal sensing with explainable AI improves operational visibility and educational analytics and the smart lab framework is proposed, supporting safer, more efficient, and data-driven learning across engineering disciplines.
Evidence is provided that ensemble-based frameworks currently offer the most effective balance between predictive accuracy, robustness, and clinical feasibility, and future research should emphasize multi-center external validation and explainable AI frameworks.
Professor Deb Roy contends there should be someone who is “answerable” for every piece of text in public life, no matter its origins.
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.
GPT-Lab
· gpt-lab.eu
Oct 12, 2026
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 Statistics and Data Science Center Director Alexander (Sasha) Rakhlin shares important considerations for departments and institutions.
GPT-Lab
· gpt-lab.eu
Oct 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.
By rethinking how large cloud computing systems operate, Associate Professor Christina Delimitrou seeks to make data centers more energy efficient.
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