Open-weight LLMs can unlock significant strategic advantages, delivering customization and independence in an increasingly AI ...

Dietary assessment has long been a bottleneck in nutrition research and public health. Common tools such as food frequency questionnaires, 24-hour recalls, and weighed food records rely heavily on ...

This scoping review identifies the first wave of randomized controlled trials testing large language models in digestive diseases. Four published and ten ongoing trials suggest that AI tools such as ...

AI agents have emerged from the lab, bringing promise and peril. A Carnegie Mellon University researcher explains what's ...

There’s a paradox at the heart of modern AI: The kinds of sophisticated models that companies are using to get real work done and reduce head count aren’t the ones getting all the attention. Ever-more ...

This article explores the potential of large language models (LLMs) in reliability systems engineering, highlighting their ...

Science is entering a massive publishing boom, in large part due to artificial intelligence. New research published in the ...

The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...

Which AI trends are coming in 2026? Euronews Next looks at the rise of world models and small language models as alternatives ...

Large language models (LLMs) are all the rage in the generative AI world these days, with the truly large ones like GPT, LLaMA, and others using tens or even hundreds of billions of parameters to ...