Computers have always kept thinking and remembering in separate rooms. The processor works over here; the memory sits over there.

A brain-inspired hardware platform could lead to the development of compact, low-power AI hardware. By mimicking how the brain processes information, the platform improved the speed, accuracy and ...

As artificial intelligence platforms like OpenAI’s ChatGPT and Microsoft’s Copilot go mainstream, power bills from their usage are exploding. In response, researchers are racing to build hardware that ...

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 ...

Klepsydra Technologies, a leader in high-performance edge computing software, and BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low-power, ...

In the future, a new type of computer may be able to learn much like you do—by experience rather than endless repetition or instruction. Researchers at the University of Texas at Dallas, along with ...

A new technical paper, “Protonic nickelate device networks for spatiotemporal neuromorphic computing,” was published by researcher at UCSD and Rutgers University. Abstract “Computation in biological ...

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 ...

Tested against a dataset of handwritten images from the Modified National Standards and Technology database, the interface-type memristors realized a high image recognition accuracy of 94.72%. (Los ...

Scientists demonstrate neuromorphic computing utilizing perovskite microcavity exciton polaritons operating at room temperature. (Nanowerk News) Neuromorphic computing, inspired by the human brain, is ...