Stanford University finds that AI is outpacing Moore’s Law
Every three months, the speed of artificial intelligence computation doubles, according to Stanford University’s 2019 AI Index report.
Moore’s Law maps out how processor speeds double every 18 months to two years, which means application developers can expect a doubling in application performance for the same hardware cost.
But the Stanford report, produced in partnership with McKinsey & Company, Google, PwC, OpenAI, Genpact and AI21Labs, found that AI computational power is accelerating faster than traditional processor development. “Prior to 2012, AI results closely tracked Moore’s Law, with compute doubling every two years.,” the report said. “Post-2012, compute has been doubling every 3.4 months.”
Moore’s Law maps out how processor speeds double every 18 months to two years, which means application developers can expect a doubling in application performance for the same hardware cost.
But the Stanford report, produced in partnership with McKinsey & Company, Google, PwC, OpenAI, Genpact and AI21Labs, found that AI computational power is accelerating faster than traditional processor development. “Prior to 2012, AI results closely tracked Moore’s Law, with compute doubling every two years.,” the report said. “Post-2012, compute has been doubling every 3.4 months.”
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