Could computers ever learn more like humans do, without relying on artificial intelligence (AI) systems that must undergo ...

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

For decades, artificial intelligence has excelled at spotting patterns in data. Machine learning models can predict customer behavior, forecast market trends, or identify medical risks with high ...

This engineering exam, which is a gateway to some of the premium engineering colleges such as IITs, NITs and more, cover ...

UC Santa Barbara computer scientist Daniel Lokshtanov is advancing fundamental understanding of computational efficiency through groundbreaking research on quasi-polynomial time algorithms, supported ...

Daniel Lokshtanov’s work explores the limits of what computers can solve, paving the way for advances in artificial intelligence and computational efficiency.

The degree to which someone trusts the information depicted in a chart can depend on their assumptions about who made the ...

Generative AI models such as ChatGPT are now flooding academic publishing platforms with AI-generated survey papers at levels ...

The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get any better.

A canonical problem in computer science is to find the shortest route to every point in a network. A new approach beats the ...

"We’ve got leadership right now that has lost its way," the 69-year-old scientist, who recently received a star on the Hollywood Walk of Fame, told PEOPLE Noam Galai/Getty for Global Citizen Bill Nye ...