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.

GTFormer proposes replacing Transformer self-attention with a hierarchical graph neural network, achieving zero-shot length ...

Instead of seeking an ideal circuit depth for quantum algorithms, a new approach maps precisely how much error each layer can ...

A new study proposes a graph neural network tuned by a modified zebra optimization algorithm that models relationships among ...

At the core of the Bitcoin network and other cryptocurrencies is a strong tension. On the one hand, these cryptocurrencies were designed to provide the maximum individual freedom and anonymity. On the ...

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

Fraud prevention combines rules, AI and behavioral analytics to stop scams, reduce false declines and keep automated ...

OpenAI and Anthropic assert that their AI models have posed a challenge to a traditional view concerning the limits of ...

Response time stays predictable. In a relational database, the same check means self-joining an identifier table for each ...

Get latest articles and stories on Business at LatestLY. OpenAI said its AI models have produced mathematical proofs that ...