Although large language models (LLMs) continue to transform many aspects of our daily lives, some of the challenges that have restricted their widespread use in biomedical research are a lack of ...

The intersection of sleep medicine and neurodegenerative diseases has emerged as an area of increasing scientific and clinical importance. Sleep disorders, ...

A meta-analysis suggests that large language model-simplified radiology reports improve patient understanding and readability ...

Scoping review finds large language models can support glaucoma education and decision support, but accuracy and multimodal limits persist.

Exploring uses for artificial intelligence (AI) machine learning is de rigueur, and large language models (LLMs) are having their moment in the spotlight. Last year, LLMs were used in a variety of ...

But are the limitations of the large language models (LLMs) that underpin them an obstacle to achieving Ai that understand the world beyond what its learnt from the internet. That's increasingly the ...

When a human says an event is “probable” or “likely,” people generally have a shared, if fuzzy, understanding of what that ...

Large language models struggle to solve research-level math questions. It takes a human to assess just how poorly they perform.

Explore how vision-language-action models like Helix, GR00T N1, and RT-1 are enabling robots to understand instructions and act autonomously.

“I’m not so interested in LLMs anymore,” declared Dr. Yann LeCun, Meta’s Chief AI Scientist and then proceeded to upend everything we think we know about AI. No one can escape the hype around large ...