There is a persistent belief in the ‘AI’ community that large language models (LLMs) have the ability to learn and self-improve by tweaking the weights in their vector space. Although ...

Recent advances in large-scale AI models, including large language and vision-language-action models, have significantly expanded the capabilities of ...

Whether estimating the probability that a disease is present or forecasting risk of deterioration,1 readmission,2 or death,3 most contemporary clinical artificial intelligence (AI) systems are ...

As schools introduce artificial intelligence into the classroom, a new analysis suggests that these tools could be steering students in different directions depending on who they are. Researchers from ...

Some LLMs fall "short of a benchmark that’s already been met elsewhere." ...

For decades, cognitive neuroscience relied on highly controlled, albeit artificial, experimental designs using isolated words or fragmented sentences to map ...

In “Prophecy,” Carissa Véliz explores how generative A.I. relies on prediction, enriching Big Tech while making the rest of ...

Edge-Centric Generative AI: A Survey on Efficient Inference for Large Language Models in Resource-Constrained Environments ...

A translation model that fits in 440 megabytes, runs entirely offline, and handles 33 languages just landed on Hugging Face, ...

Hitachi leaders explain why manufacturing must reject "fail fast" culture in favour of reliable, deterministic AI to protect ...

A cutting-edge large language model (LLM) outperformed human doctors in common clinical reasoning tasks including emergency room decisions, identifying likely diagnoses, and choosing next steps in ...