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 ...

Efforts to build brain-inspired computer hardware have been underway for decades, but the field has yet to have its breakout moment. Now, leading researchers say the time is ripe to start building the ...

Neuromorphic computing, inspired by the neural architectures and functions of biological brains, is revolutionizing the development of highly efficient, adaptive computing systems. In robotics, this ...

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 ...

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 ...

Professor Zhen Zhang's research group at the State Key Laboratory of Bionic Interface Materials Science, University of ...

Neuromorphic computing, which mimics architecture of brain, could support growing energy demands of AI.

Dhireesha Kudithipudi (second from right), founding director of MATRIX at UTSA, chats with students during the NSF AI Spring School at UTSA's San Pedro I building. The research is part of a broader ...

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 ...

What if next-generation computing systems were able to adopt the human brain’s information processing capacity and energy efficiency? Researchers at Rochester Institute of Technology have begun 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 ...