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How did Moore's law contribute to the current AI revolution?

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posted Sep 18, 2018 by Abhilasha Yadav

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It's tempting to think of today's progress in artificial intelligence as mainly related to solving logical and data-oriented problems, but for companies trying to innovate and keep moving forward, it can be helpful to go back and think about how ever more powerful hardware has also contributed to today's machine learning and artificial intelligence functionality.

Some of the more obvious ways that Moore's law has benefited artificial intelligence advancement are evident to anyone who has been looking at IT for the past 30 years. The first one is that the actual centralized computer workstations and data centers that work on artificial intelligence data sets are smaller than they would have been in the earlier days of computing – and that makes a difference. If simple mainframes were still taking up the space of a washer/dryer set, that would understandably have a dampening effect on the agile development of all sorts of new technologies.

answer Sep 19, 2018 by Navya V