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 ...

Imagine a future where your phone, computer or even a tiny wearable device can think and learn like the human brain—processing information faster, smarter and using less energy.

Memristors in action: Sort-in-memory, a nervous system for robots, RF signal processing. Researchers from Peking University ...

The memory cell enables users to run high-speed computations inside the memory array, researchers reported Oct. 23 in the ...

SuperFlash memBrain™ memory solution enables WITINMEN’s System on Chip (SoC) to meet the most demanding neural processing cost, power, and performance requirementsCHANDLER, Ariz., Feb. 28 ...

You may like A system inspired by the human brain has quietly been activated at a US nuclear lab, and it has no operating system or storage AI GPU accelerators with 6TB HBM memory could appear by ...

According to researchers behind a comprehensive whitepaper on neuromorphic computing in the Netherlands, analogue in-memory computing requires approximately 100 mW, compared with 100W for a ...

This presents challenges for optical processing systems because transferring optical data to electronic memory — and back — increases energy consumption and introduces latency.

Other results of the study map connections between brain cells based on their ability to pump charged particles through channels, building up charge imbalances (potentials) along their membranes ...