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2,222 papers
Machine learning reproducibility requires documentation of interdependent research components and the decisions made throughout a study. This poster presents ongoing work to develop an RO-Crate profile for representing reproducibility metadata in machine learning–based bioinformatics studies, guided by PRIMAD-LID and i...
Machine learning reproducibility requires documentation of interdependent research components and the decisions made throughout a study. This poster presents ongoing work to develop an RO-Crate profile for representing reproducibility metadata in machine learning–based bioinformatics studies, guided by PRIMAD-LID and i...
Generative AI systems such as ChatGPT are increasingly used by university students for explanation, code inspection, idea generation, and immediate feedback. This preliminary cross-sectional study examines the association between ChatGPT use frequency and learning motivation among 17 Informatics Engineering students at...
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Large language models (LLMs) are increasingly used in sleep medicine, but their reliability for polysomnography (PSG) scoring-rule tasks that require up-to-date guideline knowledge remains uncertain. This pilot study compared response quality when identical AASM v3.0 PSG scoring-rule questions were answered by Notebook...
Un sistema prepara un prezzo usando dati incompleti. Articolo divulgativo breve di Michele Argenziano, area Responsabilità professionale e controllo umano. Gli esempi sono ipotetici; le indicazioni educative e organizzative sono proposte dell'autore, non risultati empirici né protocolli clinici validati. Fonti di inqua...
Un professionista usa strumenti generativi in un progetto e il contratto richiede condizioni specifiche sul materiale. Articolo divulgativo breve di Michele Argenziano, area Responsabilità professionale e controllo umano. Gli esempi sono ipotetici; le indicazioni educative e organizzative sono proposte dell'autore, non...
Creating even a short multimedia piece currently requires several separate generative services for text, images, video, speech and music, each with its own account, quota, option set and failure behaviour. This paper describes DreamCast AI, a web application that organises these services into one project-oriented workf...
In recent years, the integration of innovative methodologies, such as gamification and generative artificial intelligence (AI), has opened up new possibilities in art education. This study examines the impact of a gamified intervention incorporating AI-based activities on the creative development of primary school stud...
Un'organizzazione accumula dati in una piattaforma senza sapere come recuperarli. Articolo divulgativo breve di Michele Argenziano, area Responsabilità professionale e controllo umano. Gli esempi sono ipotetici; le indicazioni educative e organizzative sono proposte dell'autore, non risultati empirici né protocolli cli...
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.
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.
An ongoing survey tracks the latest AI accelerator systems to keep hardware relevant for Lincoln Laboratory staff and sponsors.
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
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