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

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

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

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

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 ...

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

A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make ...

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 ...

Further simulations show that machine learning models can automatically capture non-additive effects and multi-locus interactions without explicitly specifying interaction terms, thereby improving the ...