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

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 ...

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 ...

A new hardware-software co-design increases AI energy efficiency and reduces latency, enabling real-time processing of ...

This collection supports and amplifies research related to SDG 9 - Industry, innovation and infrastructure. The exploration of two-dimensional materials has garnered significant attention in recent ...

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

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 ...

Like a startup company in search of a mission statement, neuromorphic engineering has yet to define for itself a clear path forward. There have been advances in a few select pockets -- Synaptics' ...

Researchers at Loughborough University have built a brain-inspired computing device that could reduce energy consumption for certain artificial intelligence tasks by up to 2,000 times compared with ...

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 ...