Light-based processors boost machine-learning processing

The exponential growth of data traffic in our digital age poses some real challenges on processing power. And with the advent of machine learning and AI in, for example, self-driving vehicles and speech recognition, the upward trend is set to continue. All this places a heavy burden on the ability of current computer processors to keep up with demand.

Now, an international team of scientists has turned to light to tackle the problem. The researchers developed a new approach and architecture that combines processing and data storage onto a single chip by using light-based, or "photonic" processors, which are shown to surpass conventional electronic chips by processing information much more rapidly and in parallel.

Credit: University of Oxford

Research Paper: Parallel convolutional processing using an integrated photonic tensor core https://www.nature.com/articles/s41586-020-03070-1

News Source: https://www.eurekalert.org/pub_releases/2021-01/epfd-lpb010621.php

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