Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...

The field of intelligent energy systems has witnessed a remarkable transformation owing to innovations in machine learning. Over the past few decades, the ...

AI-based life detection systems are being considered for future missions to Mars and other planetary bodies, where they would analyze chemical and molecular data to identify potential biosignatures.

Machine learning can sound pretty complicated, right? Like something only super-smart tech people get. But honestly, it’s ...

While competitors burn through investor cash to build out their server farms and data center networks, Perceptron assembled a ...

In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...

Researchers from Google DeepMind in Berlin, BIFOLD, and the Technical University of Berlin have introduced a new machine ...

Simulating how atoms and molecules move over time is a central challenge in computational chemistry and materials science.

Confidence is persuasive. In artificial intelligence systems, it is often misleading. Today's most capable reasoning models ...

A high-precision machine learning potential based on the Deep Potential method was constructed to systematically investigate ...

Despite recent advances in musical signal processing, little attention has been given to the demands of nontechnical stakeholders. The reduction of ...