New types of computing architecture, which emulate the working principles of biological neural networks, hold the promise of faster, more energy-efficient data processing.

So far, computing via a biological neural network has been done only with DNA in test tubes or with gene circuits, Chen says. Computing with proteins is fairly new.

A review paper by scientists at the Beijing Institute of Technology summarized recent efforts and future potentials in the use of in vitro biological neural networks (BNNs) for the realization of ...

Building chips with analogs of biological neurons and dendrites and neural networks like our brains is also key to the massive efficiency gains Rain Neuromorphics is claiming: 1,000 times more ...

(Image: Yo Kobayashi) This groundbreaking achievement is an example of the power of the computational framework known as reservoir computing, in which data are input into a complex “reservoir” that ...

Brain-inspired computing applies the working principles of biological neural networks to computer system design, aiming to build computing systems that, like the brain, feature low power ...