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.

A new technical paper titled “A Case for Hypergraphs to Model and Map SNNs on Neuromorphic Hardware” was published by ...

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

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 ...

Seoul National University College of Engineering has announced that a research team led by Professor Ho Won Jang from the Department of Materials Science and Engineering has developed neuromorphic ...

When you buy through links on our articles, Future and its syndication partners may earn a commission. Although neuromorphic computing was first proposed by scientist Carver Mead in the late 1980s, it ...

Neuromorphic engineering is an interdisciplinary field that combines principles from neuroscience, computer science, and electrical engineering to design artificial neural systems, often referred to ...

Scientists believe they may have discovered a way to rework the hardware of AI. By mimicking the synapses of the human brain. Technology is edging closer and closer to the super-speed world of ...