Rain is one of nature’s most fascinating processes, yet most people take it for granted. Every drop that falls from the sky ...

A new AI model learns to "think" longer on hard problems, achieving more robust reasoning and better generalization to novel, unseen tasks.

To view the public portion of the meeting, please here. This open session will include a presentation of the committee charge and an overview of sponsor expectations. All are welcome to attend ...

An NYU team uses machine learning to analyze neural activity data and uncover how speech is produced. In a recent paper ...

In biology textbooks and beyond, the human genome and DNA therein typically are taught in only one dimension. While it can be ...

Researchers are using machine learning, symbolic regression, and high-performance computing to explore and classify string ...

The University of Washington's Allen School is rethinking how to train the next generation of software engineers in an ...

Reactions that alter organic scaffolds by a single atom are already proving useful, but time will tell if they’ll ...

Australians progressing the work of a Nobel prize-winning chemist have developed a superbug-­destroying protein using ...

If you're serious about computer science and know that your passion is using technology to change the world, there's no better place for you than Carnegie Mellon's School of Computer Science.

Common spatial pattern (CSP) is one of the most successful feature extraction algorithms for brain–computer interfaces (BCIs). It aims to find spatial filters that maximize the projected variance ...

Hit play on the player below to hear the podcast and follow along with the transcript beneath it. This transcript was ...