OpenAI finds machine learning efficiency is outpacing Moore’s Law

May 18, 2020
OpenAI finds machine learning efficiency is outpacing Moore’s Law, Jason Dorrier writes for

SAN FRANCISCO - Eight years ago a machine learning algorithm learned to identify a cat—and it stunned the world. A few years later AI could accurately translate languages and take down world champion Go players. Now, machine learning has begun to excel at complex multiplayer video games like Starcraft and Dota 2 and subtle games like poker. AI, it would appear, is improving fast, Jason Dorrier writes for SingularityHub.comContinue reading original article.

The Intelligent Aerospace take:

May 19, 2020-Moore's Law isn't necessarily slowing because of technical limitations. Rather, we may be reaching the point where the market is content to take a modular approach to computing solutions in the name of more economic solutions than fitting more transistors into increasingly cramped quarters. Last year, AMD CTO Mark Papermaster wrote that "If the design approach anticipates modular architecture, then portions of the design that are difficult to manufacture can be parsed into small die sizes. With small die, we get increased yield and increased number of chips per wafer, which will help further reduce manufacturing costs and increase production efficiency

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Jamie Whitney, Associate Editor
Intelligent Aerospace

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