Explore Google's breakthrough in quantum advantage, showcasing its Willow processor's ability to outperform supercomputers in ...

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

From industrial robots to self-driving cars, engineers face a common problem: keeping machines steady and predictable. When ...

Evaluating the advantages and potential drawbacks of shielding as a method for safe RL. Bettina Könighofer is an assistant ...

A research team has developed a neural network-based approach to automatically generate realistic 3D models of plant leaves—each labeled with precise ...

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

A degree in computer science used to promise a cozy career in tech. Now, students’ ambitions are shaped by AI, in fields that ...

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

Through peer collaboration, professional development and innovative teaching approaches, KEEN provides professors with the ...

College Algebra is a major barrier to degree completion, but redesigning math experiences to focus on real-world applications ...

A human has outkissed one of Google’s superpowered artificial intelligence systems. The achievement isn’t in the realm of ...