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

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 ...

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 systems, encompassing both digital and analog neural accelerators, promise to revolutionize AI ...

AI, machine learning, and ChatGPT may be relatively new buzzwords in the public domain, but developing a computer that functions like the human brain and nervous system -- both hardware and software ...

Neuromorphic computing, inspired by the brain, integrates memory and processing to drastically reduce power consumption compared to traditional CPUs and GPUs, making AI at the network edge more ...

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 ...

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 ...

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 ...