To build a self-supervised magnetic resonance imaging (MRI) foundation model from routine clinical scans and to test whether it can support key glioma-related applications, including post-therapy ...

The AI research community continues to find new ways to improve large language models (LLMs), the latest being a new architecture introduced by scientists at Meta and the University of Washington.

Traditionally, plant genomics has grappled with the intricacies of vast and complex datasets, often limited by the specificity of traditional machine learning models and the scarcity of annotated data ...