This study examined Generative Artificial Intelligence utilisation and academic integrity among master’s students in Lagos State University, Nigeria. The AI literacy and competence, institutional regulation, and academic ethics awareness as determinants of academic integrity among master's students at Lagos State unive...
Muhammad Sidique MALIK, Taofeek Olawale Shittu, Rukayat Towobola MALIK· Zenodo (CERN European Organi...· 0 citations
Despite significant pilot activity in Generative AI across financial institutions (78% running active pilots), only a fraction transition these projects into operational production. While commercial maturity exists for underlying technologies such as retrieval-augmented generation and private endpoints, significant org...
Rakesh Ganesan· Zenodo (CERN European Organi...· 0 citations
Abstract This paper introduces an acid-base equilibrium (titration curve) model from biochemistry as an analogy and dynamic mathematical framework to explain the non-linear jump phenomenon in outcome creation during interaction with Generative AI. Traditional project management and business performance metrics have rel...
Hideo Kajino· Zenodo (CERN European Organi...· 0 citations
Purpose This study examines whether generative AI chatbot features are associated with user autonomy and competence and whether these psychological states are, in turn, associated with GenAI misuse intention, conceptualized here as an empowerment backfire mechanism. Design/methodology/approach Drawing primarily on the...
Shiu‐Wan Hung, Jyun-Hao Jian· Asia Pacific Journal of Mark...· 0 citations
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Abstract This paper introduces an acid-base equilibrium (titration curve) model from biochemistry as an analogy and dynamic mathematical framework to explain the non-linear jump phenomenon in outcome creation during interaction with Generative AI. Traditional project management and business performance metrics have rel...
Hideo Kajino· Zenodo (CERN European Organi...· 0 citations
Window Theory - AI (wtAI): A Falsifiable Framework for Flexibility-Fragility Coupling in Large Language Models This is a six-part research series examining a structural pattern in decoder-based next-token-prediction systems deployed as dialogue and instruction agents. It is written for readers with a background in mach...
Wai-Hung (Pan) Tam· Zenodo (CERN European Organi...· 0 citations
Window Theory - AI (wtAI): A Falsifiable Framework for Flexibility-Fragility Coupling in Large Language Models This is a six-part research series examining a structural pattern in decoder-based next-token-prediction systems deployed as dialogue and instruction agents. It is written for readers with a background in mach...
Wai-Hung (Pan) Tam· Zenodo (CERN European Organi...· 0 citations
Window Theory - AI (wtAI): A Falsifiable Framework for Flexibility-Fragility Coupling in Large Language Models This is a six-part research series examining a structural pattern in decoder-based next-token-prediction systems deployed as dialogue and instruction agents. It is written for readers with a background in mach...
Wai-Hung (Pan) Tam· Zenodo (CERN European Organi...· 0 citations
Pediatric urological disorders require timely recognition to reduce the risk of persistent functional, reproductive, and psychosocial consequences, yet screening still depends heavily on clinician-led visual examination. This study develops and evaluates Quantum Vision AI, a child-safe intelligent screening platform th...
Joko Pitoyo, Jahrizal, Fajri Marindra Siregar et al.· Journal of Information Syste...· 0 citations
It is suggested that learner readiness is dynamic, uneven, and context-dependent, highlighting the need to reconceptualize readiness beyond purely cognitive or technical dimensions in AI-assisted language learning.
Hien Viet Hoang, Huynh Manh Bui· Technology in Language Teach...· 1 citation
Written from an educator’s perspective, the paper aims to examine the increasing use of chatbot technology capable of answering user queries in various fields such as commerce, public service delivery, urban areas, higher education etc. by simulating human conversation through text messages or voice commands. We analys...
Thomas Menkhoff, Siew Ning Kan, Shaohui Foong· WORLD SCIENTIFIC eBooks· 0 citations
This study establishes the Diabetic Retinopathy Latent Diffusion Synthesizer (DR-LDS) as a highly resource-efficient solution to the medical data bottleneck by leveraging a fine-tuned Variational Autoencoder for domain-adapted latent space compression, alongside an optimized U-Net.
Touhid Alam, Tze Hui Liew, M. Morol et al.· Discover Artificial Intellig...· 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.
