Brain-inspired computing promises cheaper, faster, more energy efficient processing, according to experts at a Beijing conference, who discussed everything from reverse engineering insect brains to ...
Neuromorphic computer solves differential equations ...
The transformative power of computing, driven by advances in microelectronics and silicon-based transistors, has reshaped our ...
Professor Zhen Zhang's research group at the State Key Laboratory of Bionic Interface Materials Science, University of Science and Technology of China, proposed and constructed a neuromorphic ...
Covering developments in neuromorphic computing has been something of a piecemeal experience, as happens with all novel architectures. There are few companies with scalable devices and the research is ...
Scientists demonstrate neuromorphic computing utilizing perovskite microcavity exciton polaritons operating at room temperature. (Nanowerk News) Neuromorphic computing, inspired by the human brain, is ...
The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning ...
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 ...
Our latest and most advanced technologies — from AI to Industrial IoT, advanced robotics, and self-driving cars — share serious problems: massive energy consumption, limited on-edge capabilities, ...
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Intel certainly has a lot of irons in the AI fireplace, including Xeon CPUs, Movidius computer vision chips, MobileEye chips for autonomous driving and Deep Neural Network training and inference ...