Until now, selecting quantum optimisation algorithms relied on trial and error, choosing mixers based more on what’s easy to ...

OpenAI says its AI found a refutation of a 27-year-old computing hypothesis, challenging an assumption researchers use to ...

From 2022 to 2026, the autonomous driving experience roughly doubled in quality every two years—a trajectory punctuated by ...

Flow matching trains a continuous velocity field that transports samples from a simple distribution to a data distribution ...

The data scientist Lauren Leek says predictive algorithms are flattening the everyday world, from pub menus to pop lyrics.

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.