Digital transistors have been the backbone of computing for much of the modern era, but Mythic A.I. makes a compelling case that analog chips may be the future.
Forget digital. The future of A.I. is … analog? At least, that’s the assertion of Mythic, an A.I. chip company that’s, its own words, taking “a leap forward in performance in power” by going back in time. Sort of.
In fact, to alter a famous quotation often attributed to Mark Twain, reports of the death of analog computing may have been greatly exaggerated. If the triumph of the digital transistor represented the beginning of the end for analog computers, it may only have been the beginning of the end of the beginning.
The analog approach isn’t just a marketing gimmick, either. Mythic sees problems in the future for Moore’s Law, the famous observation made by Intel co-founder Gordon Moore in 1965, claiming that roughly every 18 months the number of transistors able to be squeezed onto an integrated circuit doubles. This observation has helped usher in a period of sustained exponential improvement for computers over the past 60 years, helping support the amazing advances A.I.
The future of A.I. If this problem is not taken care of, it’s going to have a big impact on the further advancement of A.I., especially when this is carried out locally on devices. Right now, some of the A.I. we rely on on a daily basis combines on-device processing and the cloud. Think of it like having an employee who’s able to make decisions up to a certain level, but must then call their boss to ask advice.
Add onto this the growing expectations for what people believe should be extractable from an image — whether that’s mapping objects in real-time, identifying multiple objects at once, figuring out the three-dimensional context of a scene — and you realize the immense challenge that A.I. systems face.
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