Brain-inspired chips can slash AI energy use by as much as 100-fold, but the road to mainstream deployment is far from guaranteed.

In this cross-journal collection, we aim to bring together cutting-edge research of neuromorphic architecture and hardware, computing algorithms and theories, and the related innovative applications.

Inside Neuromorphic Computing General Vision's chief executive talks about why there is such renewed interest in this technology and how it will be used in the future. Submit. ... you have 300 Chinese ...

The resulting chips are vastly different from the current architecture and computing mode of digital-only computers that rely on binary signal processing of 0s and 1s. With the brain as their guide, ...

Neuromorphic computing: New research could lead to more energy-efficient computing. ScienceDaily. Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2018 / 10 / 181003090358.htm.

Yanbo Xie, a nanofluidics expert at Northwestern Polytechnical University in China, points out that the memristor is a critical component for a neuromorphic computer chip and plays a similar role to a ...

Rather than line up billions of digital transistors all in a line, TrueNorth chips have a million computer 'neurons' that work in parallel across 256 million inter-neuron connections ('synapses').

Intel announced that it has made some breakthrough advancements with its neuromorphic processors. The second-generation Loihi chip, known as Loihi 2, will be up to 10 times faster at processing ...