Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, 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 ...

For how powerful today’s “smart” devices are, they’re not that good at working smarter rather than working harder. With AI constantly connected to the cloud and the chip constantly processing tasks ...

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 ...

A review paper by scientists at Beijing Institute of Graphic Communication presented  a thorough review of the existing ...

A research team from Peking University has successfully developed a vanadium oxide (VO₂)-based “locally active memristive ...

Tiny molecules that can think, remember, and learn may be the missing link between electronics and the brain. For more than ...

Large scale datasets and information processing requirements, within complex environments, are continuously reaching unprecedented levels of sophistication, especially in the advent of artificial ...

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 ...

The "The Global Market for Neuromorphic Computing and Sensing 2024-2035" report has been added to ResearchAndMarkets.com's offering. The Global Market for Neuromorphic Computing and Sensing 2024-2035 ...