It was previously thought that children younger than 7 couldn't find efficient solutions to complex problems, but new ...

The recent paper studies algorithmic pricing through the lens of game theory, an interdisciplinary field at the border of ...

Some of the world’s most interesting thinkers about thinking think they might’ve cracked machine sentience. And I think they ...

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

Combining a quantum-inspired algorithm and quantum information processing technologies could enable researchers to measure ...

Discover how quants leverage algorithms for profitable trading, their evolving role, and potential earnings in the dynamic financial industry.

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