Neural networks are taking the world of computing by storm. Researchers have used them to create machines that are learning a huge range of skills that had previously been the unique preserve of humans—object recognition, face recognition, natural language processing, machine translation. All these skills, and more, are now becoming routine for machines.
So there is great interest in creating more capable neural networks that can push the boundaries of artificial intelligence even further. The focus of this work is in creating circuits that operate more like neurons, so-called neuromorphic chips. But how to make these circuits significantly faster?
Today, we get an answer of sorts thanks to the work of Alexander Tait and pals at Princeton University in New Jersey. These guys have built the world’s first photonic neuromorphic chip and show that it computes at ultrafast speeds.
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