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 ...

Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...

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 ...

This integration addresses the fundamental barriers that have historically limited formal verification adoption: complexity of use, limited access to needed capabilities, difficulty justifying lightly ...

The opening years of the twenty-first century have been remarkable ones for the mathematical sciences. Major breakthroughs have been made on fundamental research problems. The ongoing trend for the ...

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 ...

In this interview, mathematical siblings Gregory and David Chudnovsky, who seem to almost think with one mind, banter about numbers theory, advanced computing, and the importance and aesthetics of ...