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 ...

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 ...

An international team of researchers has designed and built a chip that runs computations directly in memory and can run a wide variety of AI applications -- all at a fraction of the energy consumed ...

Researchers have created a small device that 'sees' and creates memories in a similar way to humans, in a promising step towards one day having applications that can make rapid, complex decisions such ...

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 ...

What are the most compelling scientific questions in memristive materials for neuromorphic processing, and what are promising future research directions for the field? The National Academies' ...

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 ...

In emerging computing fields like quantum computing and neuromorphic computing, hardware usually grabs the lion’s share of attention. You can see the systems and the chips that drive them, talk about ...

Cory Merkel, assistant professor of computer engineering at Rochester Institute of Technology, will represent the university as one of five collegiate partners in the new Center of Neuromorphic ...