CGSchNet, a fast machine-learned model, simulates proteins with high accuracy, enabling drug discovery and protein ...

Mixture-of-Recursions (MoR) is a new AI architecture that promises to cut LLM inference costs and memory use without ...

EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses ...

The students participating in the annual International Math Olympiad (IMO) represent some of the most talented young computational minds in the world. This year, they faced down a newly enhanced array ...

Leaders should rethink learning strategies, embed computational thinking into decision frameworks and redesign leadership ...

As large language models (LLMs) like ChatGPT continue to advance, user expectations of them keep growing, including with ...

The accumulation of misfolded proteins in the brain is central to the progression of neurodegenerative diseases like Huntington's, Alzheimer's and Parkinson's. But to the human eye, proteins that are ...

A new show, "Infinite Images" at the Toledo Museum of Art, traces the long history of algorithmic art from the 1960s to today.

In this valuable study, the authors provide a simple yet elegant approach to identifying therapeutic targets that synergize to prevent therapeutic resistance in ovarian cancer using cell lines, ...

A new study published in Frontiers in Energy resolves this challenge by deploying deep learning (DL) to map microscopic ...