He built interfaces that allowed engineers, scientists and everyday people to solve difficult problems without having to ...

Abstract: Theory‐guided deep‐learning techniques play an increasingly essential role in scientific computing. Recent advances in high‐performance tensor processing hardware and software are also ...

This webpage is a benchmark data set for keystroke dynamics. It is a supplement to the paper "Comparing Anomaly-Detection Algorithms for Keystroke Dynamics," by Kevin Killourhy and Roy Maxion, ...

Robots and AI are running experiments around the clock, from battery chemistry to cancer therapies. But can they be trusted ...

Cleveland Clinic researchers are unlocking quantum computing's full potential through the creation of a new computing ...

High Energy Physics (HEP) is a deeply collaborative and software-driven discipline, where scientific discovery depends on advanced computing, data analysis, ...

A new technique could solve one of the biggest challenges in making future computer chips from ultrathin materials.

A data center could get more solar power and be kept much colder in space, but it would be extremely difficult to repair and ...

Researchers in Sweden have developed a machine-learning approach that embeds the laws of physics directly into neural ...

The mathematics community is right to call for transparency, integrity and fairness to be protected when AI tools are used.

As the data-center boom puts pressure on the grid, some companies say the answer isn’t just more power plants but software ...