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

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

Researchers from Google Quantum AI report that their quantum processor, Willow, ran an algorithm for a quantum computer that ...

Discover why International Business Machines Corporation's AI and quantum computing growth make it a smart, stable investment ...

From creating personalized recommendations to enabling complex machine learning systems, this algorithm is behind much of ...

Like humans, artificial intelligence learns by trial and error, but traditionally, it requires humans to set the ball rolling ...

A few years back, Google made waves when it claimed that some of its hardware had achieved quantum supremacy, performing ...

After four years, federal price transparency rules have revealed a meaningful number of prices. But they’ve revealed ...

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

Abstract: Bilevel optimization, where one optimization problem is inherently nested within another, has gained significant attention due to its extensive applications in machine learning, such as ...

What is Kolmogorov Complexity, and why does it matter in computer science and information theory? In this video, we break down the concept in simple terms and walk through real-world examples to make ...