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Hardware strives to capture the analog marvels of the brain

https://ift.tt/ym9YxLg Could machine learning’s escalating costs and carbon footprint be reduced by using analog AI hardware instead of dig...

https://ift.tt/ym9YxLg
Analog AI hardware aims to reduce costs and carbon emissionCould machine learning’s escalating costs and carbon footprint be reduced by using analog AI hardware instead of digital to tap into quick, low-power processing? Researchers Logan Wright and Tatsuhiro Onodera from Cornell University and NTT Research foresee a time when machine learning (ML) will be carried out using cutting-edge physical

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