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 ...

In a world saturated with algorithmic trading tools and off-the-shelf AI hype, Sókn Engineering is charting a radically different approach. At the center of this shift is Lagertha, a proprietary, ...

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 ...

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 ...