Explainability tools are commonly used in AI development to provide visibility into how models interpret data. In healthcare machine learning systems, explainability techniques may highlight factors ...

Research Contributions and Impact in Workforce Technology Manoj Parasa is recognized for his work at the intersection ...

SANTA CLARA, CA - March 16, 2026 - - As generative artificial intelligence reshapes the software landscape, technology ...

London biotech startup Ternary Therapeutics has raised £3.6m to scale its AI-powered platform designed to engineer molecular ...

New funding from the Texas Space Commission and U.S. Space Force will expand Rice University's space research programs.

Artificial Intelligence(AI) are increasingly used in everyday operations but behind every successful AI deployment is a ...

Shallem, Greg Ravikovich and Eitan Har-Shoshanim examine how AI addresses the challenge of data overload in solar PV.

While such forums set broad goals, Aggarwal focuses on operational implementation—particularly pricing algorithms used in digital subscriptions, transportation platforms, and online marketplaces.

Do you prefer hype or rationality? Artificial general intelligence offers only a hazy, overzealous goal. Enter SAI, a ...

A rescue dog diagnosed with advanced cancer became the focus of an unusual scientific effort after her owner used artificial intelligence to design a personalised vaccine. A technology entrepreneur ...

Curiosity-driven research has long sparked technological transformations. A century ago, curiosity about atoms led to quantum mechanics, and eventually the transistor at the heart of modern computing.

The next iteration of modern warfare is here. How the US manages this new battlefield is a matter of national security.