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 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 ...

Researchers have developed an exact fixed-parameter algorithm and a fast heuristic for deciding whether undirected ...

Do your social media accounts feed you content that reflects your core beliefs and guiding principles? Our new research ...

A user who is frustrated with changes a social media company made to their favorite messaging platform, like the introduction ...

Adelaide failed in its bid to hold COP31, but researchers remain immersed in battling climate change. Sarah Keenihan wants data reimagined.

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

Huo Xing Finance reports that on October 27, OpenAI announced that its AI model had “cracked” ETH—a statement that quickly ...

OpenAI says its internal AI models have cracked three major open questions in math, computer science, and physics. One of ...

OpenAI announced that it had obtained "major" discoveries in three fields: mathematics, computer science, and physics. The ...

Members of the planning and selection committees discuss award category that honours ‘foundation of today’s world-changing ...

See how AI is changing algorithm discovery, theorem proving, and complexity theory, with real research examples and a clear look at its limitations.