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

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 ...

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 ...

This review describes various types of low-power memristors, demonstrating their potential for a wide range of applications. This review summarizes low-power memristors for multi-level storage, ...

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 ...

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 ...

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 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 ...

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 technical paper titled “Long Duration Persistent Photocurrent in 3 nm Thin Doped Indium Oxide for Integrated Light Sensing and In-Sensor Neuromorphic Computation” was published by researchers at ...