A collection of electroencephalography (EEG) recordings from 15 students (8 male, 7 female, aged 21-23) performing essay-writing tasks. The task was designed to assess cognitive conditions such as creativity, memory, and critical thinking under different generative AI interaction conditions. The dataset supports studie...
Achmad Imam Kistijantoro, Lianna G. H. Margareta, Haura R. Haminullah et al.· UC San Diego· 0 citations
akróasys is a synthesizer that uses generative AI as an oscillator rather than as a generator of finished audio. It carries two such oscillators. The T5 Oscillator operates inside the text-embedding space of a diffusion audio model, before that space has been rendered to sound, and makes the embedding itself playable:...
Benjamin Jörissen· Zenodo (CERN European Organi...· 0 citations
The recent success of gene drive mosquitoes suppressing malaria signals a new era in vector control. Yet, reliance on secreted, natural peptides poses risks of instability, host toxicity and resistance evolution. We propose synthesizing two transformative technologies to overcome these limits: generative AI for de novo...
Yanan Wei, Yanying Sun, Jeong Kyu Bang et al.· Insect Molecular Biology· 0 citations
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This repository contains supplementary materials supporting the manuscript “Advancing Transformative Agency in Educommunicative Ecosystems: Contributions to Critical Ocean Literacy in Brazil.” The manuscript examines how an interinstitutional educommunicative ecosystem formed through the Brazilian Future Ocean Panel (P...
Leopoldo Cavaleri Gehardinger, Rafael Gué Martini, Isabelle da Silveira et al.· Zenodo (CERN European Organi...· 0 citations
Data and code for the systematic review "Self-Healing Cloud Infrastructure: A Systematic Review of Machine Learning Approaches for Autonomous Detection, Diagnosis, Decision, and Recovery". The review follows PRISMA 2020 and includes 388 studies published from 2022 to 2026, 359 from the main search through seven discove...
Mateen Ali Anjum· Zenodo (CERN European Organi...· 0 citations
Generative AI is rapidly reshaping STEM higher education. Not only are our educational practices changing, but how we think about educational transformation must also adapt. Existing models of institutional change in STEM, aimed at interactive engagement, have largely followed an adoption logic: relatively stable, well...
David Perl‐Nussbaum, Noah D. Finkelstein· International Journal of STE...· 0 citations
Biomolecular networks underlie both natural biological processes and engineered cellular technologies, from intracellular regulation and ecological dynamics to biomanufacturing, smart therapeutics, and cell-based diagnostics. However, designing chemical reaction networks (CRNs) that implement a desired dynamical functi...
Maurice Filo, Nicolò Rossi, Zhou Fang et al.· Science Advances· 0 citations
Abstract Generative artificial intelligence (AI) models are revolutionizing biology, with tools such as AlphaFold 3 and protein design models accelerating breakthroughs in protein structure prediction and the creation of new functional proteins 1 . Tracking and establishing the provenance of AI-generated protein sequen...
David Stutz, Alexander I. Cowen-Rivers, Guillermo Ortiz-Jiménez et al.· Nature· 1 citation
As generative AI adopts subscription models, understanding continued payment intentions is essential. Drawing on the expectation-confirmation model, this study integrates technical quality and human–AI relational perceptions to explain continued subscription intention for ChatGPT. Survey data from 565 paid users show t...
Liucun Zhu, Chunlin Duan· Management Research Quarterl...· 1 citation
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.
MIT News · Artificial Intelligence· news.mit.eduOct 6, 2026