Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...

Researchers led by Universitätsmedizin Frankfurt and Goethe University Frankfurt have identified how particularly aggressive ...

For decades, scientists trying to build better catalysts have relied on a single guiding principle: there is one sweet spot, ...

A new study reveals that dual-atom catalysts behave in a fundamentally different way than scientists previously thought, challenging a long-standing model used to predict catalytic performance.

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

AI is often described as a mirror of humanity. A mirror can flatter, distort, or expose. But do we like what we put in front ...

Investigators assessed whether machine learning models provide accurate, individualized risk predictions for major 30-day postoperative complications following glossectomy.

Its first exhibit translates rainforest data into a sumptuous audiovisual experience, but without a strong thesis about data ...

An innovative partnership has yielded powerful new tools to help federal agencies rapidly synthesize complex data, historical ...

University of Pittsburgh postdoctoral researcher Mary Cundiff uses machine learning and single-cell genomics to study ...

The adoption of deep learning techniques in recent literature is motivated by their superior performance compared to classical machine learning methods. However, ethical and regulatory concerns ...

SummaryRFIC design is a complex “dark art” that limits progress in wireless technologies like 5G, autonomous vehicles, and ...