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 ...

An international team comprised of 23 researchers has published a review article on the future of neuromorphic computing that examines the state of neuromorphic technology and presents a strategy for ...

Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex mathematical problems that underpin scientific and engineering challenges.

The device is built using 1D supramolecular nanofibers, synthesized from charge-transfer complexes of donor and acceptor ...

San Diego, CA – Innatera, a leader in neuromorphic computing for the sensor edge, today announced Synfire, an open, community-driven platform designed to unify and accelerate the neuromorphic ...

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 ...

Dhireesha Kudithipudi, PhD, is the founding director of MATRIX AI Consortium and lead scientific PI for THOR. THOR will make the promising technology available for researchers nationwide to explore ...

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 ...

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 ...

Rochester Institute of Technology recently became one of the inaugural academic partners in the BrainChip University AI Accelerator Program. As part of the university-corporate partnership, RIT’s ...

Researchers at Loughborough University have built a brain-inspired computing device that could reduce energy consumption for ...