Recently, there has been a lot of hullabaloo about the idea that large reasoning models (LRM) are unable to think. This is ...

Artificial intelligence helps UCSD scientists discover a biological process connected to the bowel disease, potentially opening the door to new treatments ...

Nature builds problem-solvers through real-life challenges The post How the Forest Teaches Problem Solving Better Than Any ...

Abstract: With increasing complex workflow application and computational resources requirement, distributed computing has attracted growing attention. Meanwhile, cloud computing has emerged as a ...

Boardroom speaks with the entrepreneur charting a new course in streaming and building music’s middle class. Coda began ...

Philip Ball dives into the challenges in developing quantum computing, and building up investments and users for the tech ...

Discover how Google's quantum echoes algorithm is solving real-world problems in drug discovery, material science, and ...

Computers built with analogue circuits promise huge speed and efficiency gains over ordinary computers, but normally at the ...

Abstract: Temperature fluctuations can influence the stability of Deoxyribonucleic Acid (DNA), affecting recombination and mutation rates. Inspired by these biological mechanisms, we introduce a new ...

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

Thinking Machines Lab challenges OpenAI’s scaling-first approach to artificial intelligence, arguing that true ...

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