Objectives Structural MRI of the brain is routinely performed on patients referred to memory clinics; however, resulting ...

Brazilian researchers, in partnership with French institutions, have developed a tool that can predict how patients will ...

The Parallel-R1 framework uses reinforcement learning to teach models how to explore multiple reasoning paths at once, ...

Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

Yet, here comes another model family worth consideration: Meituan, a Chinese food delivery and e-commerce app, attracted the ...

Autoimmune diseases—including vitiligo, multiple sclerosis, systemic lupus erythematosus, type 1 diabetes, rheumatoid arthritis, primary biliary cirrhosis ...

By spreading out tightly packed information in neural networks, a new set of tools could make AI protein models easier to ...

Cancer remains one of the leading causes of morbidity and mortality worldwide, characterized by complex genetic and molecular ...