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

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

A computer scientist has achieved a breakthrough in a nearly 25-year-old problem involving how computers calculate distances across enormous networks. The new algorithm delivers more reliable ...

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 ...