Find out why the most popular mathematical subjects in engineering in 2026 are calculus and linear algebra. Discover how ...

Brain-like AI computers demonstrate strong math capabilities, reshaping hardware design with enhanced energy efficiency and ...

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.

Anti-forgetting representation learning method reduces the weight aggregation interference on model memory and augments the representation performance.

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 ...

A new technical paper titled “Solving sparse finite element problems on neuromorphic hardware” was published by researchers at Sandia National Lab. Abstract “The finite element method (FEM) is one of ...

The “Women in Math” touring exhibition that started with a show in Berlin in 2016 stems from the observation that even today, ...

Discover how this powerful open-source SPICE simulator helps you analyse and validate analog, digital and mixed-signal ...

PsiQuantum is collaborating with Airbus to advance applications in aerospace for fault-tolerant quantum computers.