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2,222 papers
Un assistente propone una descrizione stereotipata di un gruppo. Articolo divulgativo breve di Michele Argenziano, area Intelligenza artificiale e autonomia dei giovani. Gli esempi sono ipotetici; le indicazioni educative e organizzative sono proposte dell'autore, non risultati empirici né protocolli clinici validati....
Uno studente presenta un elaborato assistito e il docente chiede come sia arrivato alle conclusioni. Articolo divulgativo breve di Michele Argenziano, area Scuola, inclusione e intelligenza artificiale. Gli esempi sono ipotetici; le indicazioni educative e organizzative sono proposte dell'autore, non risultati empirici...
Uno studente ottiene un prodotto meno elegante di quello di un compagno ma ha compreso un passaggio prima difficile. Articolo divulgativo breve di Michele Argenziano, area Scuola, inclusione e intelligenza artificiale. Gli esempi sono ipotetici; le indicazioni educative e organizzative sono proposte dell'autore, non ri...
Un testo prodotto automaticamente contiene titoli poco chiari e immagini senza descrizione. Articolo divulgativo breve di Michele Argenziano, area Scuola, inclusione e intelligenza artificiale. Gli esempi sono ipotetici; le indicazioni educative e organizzative sono proposte dell'autore, non risultati empirici né proto...
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Un servizio dichiara una buona prestazione media e viene adottato per un compito diverso. 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 protoc...
This paper will discuss generative AI models, such as GANs, VAEs, and a hybrid GAN-VAE, towards real-time fraud detection in e-commerce. GANs perform outstandingly in synthesizing fraudulent data, while VAEs detect complex patterns of fraud. The proposed hybrid method combines the respective strengths and achieves high...
Information technology (IT) has become an integral structural component of foreign language education rather than merely an optional instructional supplement. Learning management systems, mobile applications, language corpora, automatic speech recognition, video-conferencing platforms, and generative artificial intelli...
This paper explores consciousness as a causal puzzle. Where an investigation of water molecules examines their properties, this inquiry follows the relations that sustain a whirlpool. It shifts attention from identifying consciousness within the brain to tracing the causal organization that could sustain one subject’s...
Un insegnante vuole preparare un esercizio e inserisce nomi e informazioni personali degli alunni. Articolo divulgativo breve di Michele Argenziano, area Scuola, inclusione e intelligenza artificiale. Gli esempi sono ipotetici; le indicazioni educative e organizzative sono proposte dell'autore, non risultati empirici n...
Jesper Tække’s article addresses a genuine conceptual problem. Rather than treating generative AI as either a continuation of deterministic technology or a newly autopoietic entity, he argues that it is better understood as a form of non-trivial technology whose stochastic operations destabilise causal predictability w...
An open-source memory layer for LLM agents, measured against five other systems on public benchmarks, in single-file SQLite stores you can host yourself. The paper reports the G3→G10d ablation trajectory, one pre-specified cross-system comparison, and the findings that cut against its own headline. What changed in v1.0...
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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