OpenAI claims to disprove the Exponential Time Hypothesis with a new algorithm showing subexponential performance for the ...

Discover the eight shifts every employee and leader needs to understand to stay ahead in a workplace that is changing faster ...

Previously limited by scalability, dependable benchmarks assessing computational methods beyond simple approximations are now ...

As editors turn to imperfect AI detection tools to weed out machine-generated submissions, writers who say they were falsely ...

OpenAI and Anthropic claim their AI systems have disproved a 27-year-old assumption in computer science. If independently ...

For some computer scientists, years of mathematical research may have just become irrelevant. And unlike the usual academic ...

OpenAI claims its AI disproved the Exponential Time Hypothesis, a foundational computer science assumption dating to 1999.

AI can help theoretical computer scientists search for algorithms, proof components, and combinatorial structures. Here’s what recent results show—and why verification still matters.

A new MIT Press book, co-authored by a Philadelphia journalist and a Penn researcher, argues the useful question about AI isn ...

A new editorial collection documents how artificial intelligence is reshaping particle accelerator science, from surrogate ...

Grab a pencil.  Now train a large language model. Not a big one, mind you.  Let’s go small, something in the range of a few billion ...

Researchers have developed an anisotropic diffusion algorithm that reconstructs missing image regions by steering diffusion ...