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 ...
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, 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 ...
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 ...
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 ...
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 ...
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 ...
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