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

US researchers solve partial differential equations with neuromorphic hardware, taking us closer to world's first ...

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 ...

Although today’s computers can perform superhuman feats, even the best are no match for human brains at tasks like processing speech. But as Jessamyn Fairfield explains, a new generation of ...

Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex ...

As computer vision (CV) systems become increasingly power and memory intensive, they become unsuitable for high-speed and resource deficit edge applications - such as hypersonic missile tracking and ...

Neuromorphic computing, inspired by the neural architectures and functions of biological brains, is revolutionizing the development of highly efficient, adaptive computing systems. In robotics, this ...

A research team led by Professor Jia Pan and Professor Yifan Evan Peng from the Department of Computer Science and Department of Electrical & Electronic Engineering under the Faculty of Engineering at ...

Neuromorphic engineering is finally getting closer to market reality, propelled by the AI/ML-driven need for low-power, high-performance solutions. Whether current initiatives result in true ...

A research team has recently developed a groundbreaking neuromorphic exposure control (NEC) system that revolutionizes machine vision under extreme lighting variations. This biologically inspired ...

A new technical paper titled “Solving sparse finite element problems on neuromorphic hardware” was published by researchers ...