For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light instead of electricity to process information—promise faster speeds and ...

Optical illusions, quantum mechanics and neural networks might seem to be quite unrelated topics at first glance. However, in new research published in APL Machine Learning, I have used a ...

But if a team of researchers is correct, an optical neural network might reduce that number to an incredible 50 zeptoJoules (1zJ is 10-21 J). How did the researchers come to that conclusion?

Optical neural network demo Date: July 28, 2018 Source: National Institute of Standards and Technology (NIST) Summary: Researchers have made a silicon chip that distributes optical signals ...

Optical training of neural networks could lead to more efficient artificial intelligence Date: July 19, 2018 Source: The Optical Society Summary: Researchers have shown that it is possible to ...

Optical neural networks (ONNs) have drawn much attention in recent years due to their high bandwidth and low heat generation. In order to further enhance the computational power of ONNs ...

Development of recurrent optical neural networks will require new optoelectronic devices with a short-term memory that’s programmable, computes optical inputs, minimizes noise and is scalable. In a ...

Optical neural networks (ONNs) offer the potential for higher speed because regular chips can only trigger a limited number of transistors simultaneously to keep the chip from melting.

A general-purpose optical neural network may be years out, according to another McMahon paper, but could end up being 1,000 times as efficient as its electronic counterparts. To get there, expect ...