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

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 ...

Using the same techniques that allowed A.I. technologies to crack a million-dollar math problem, researchers are building new ...

OpenAI has recruited independent experts to examine major scientific results produced by its internal AI models, marking a ...

Wednesday, October 28, 2026Today's 3 Highlights OpenAI and Anthropic have each published research results refuting the long-standing computer science challenge known as the Exponential Time Hypothesis ...

One was a surprise rejection of the Exponential Time Hypothesis (ETH), a durable assumption in computer science that plays a ...