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 computing is an area of engineering that seeks to emulate the biophysical architecture of our nervous system. Such models can take a variety of forms including hardware chips composed of ...

The word "neuromorphism" means "taking the form of a brain." It doesn't imply how well that brain functions, or how smart its bearer should be. Rather, it's the study of the mechanism of the brain: ...

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 ...

Researchers at the University of Zurich and ETH Zurich have designed a sophisticated computer system that is comparable in size, speed and energy consumption to the human brain. Based on the ...

Georgia Tech researchers have published a "roadmap" that details techniques that could make it possible to build a practical neuromorphic computer to mimic human cognition.

Titans of the tech field will go head to head to convince each other of where they believe the future of computing lies. Neuromorphic Computing and Engineering editorial board members Kwabena Boahen ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Software developers know all about semiconductors, ...

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' ...

“Reverse engineering the brain by mimicking the structure and function of neuronal networks on a silicon integrated circuit was the original goal of neuromorphic engineering, but remains a distant ...