What drew the Rigetti team's attention is the fact that neural networks also map well onto quantum processors. In a typical neural network, a layer of "neurons" performs operations before ...

The spiking neural network co-processor is the learning module that ... A: The adaptive CRT device simulation setup in a block diagram. B: The electronic laboratory prototype development setup.

In 2017, MIT researchers succeeded in creating a chip that can run neural network calculations, but there were some notable limitations. Most of the heavy lifting in machine learning comes in the ...

On the hardware front, Baidu is collaborating with Intel on the research and development of Nervana Neural Network Processor for Training (NNP-T), a hardware accelerator optimized for deep learning.

However, if you're trying to run or train a neural network, Nervana could be many times faster than existing hardware. Nervana will be adept at matrix multiplication, convolutions, and other ...

If the early results are borne out, this architecture could vastly accelerate neural networks. Traditional electronic computers have gotten faster every year since their invention, but there are ...