Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex mathematical problems that underpin scientific and engineering challenges.

Petabytes of data efficiently travels between edge devices and data centers for processing and computing of AI functions. Accurate and optimized hardware implementations of functions offload many ...

New research shows that advances in technology could help make future supercomputers far more energy efficient. Neuromorphic computers are modeled after the structure of the human brain, and researche ...

This guide provides more information on the potential implications of a new algorithm called Q* (Qstar) developed by OpenAI, which may represent a significant advancement in artificial intelligence ...

Sachdeva’s breakthrough challenges one of the most studied problems in computer science, known as maximum flow, which ...

Alan Richard Champneys is on the scientific board of the Smith Institute for Industrial Mathematics and Systems Engineering, receives funding from the UK Engineering and Physical Sciences Research ...