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Photo by — @aronvisuals

Tree-like Memory in Hardware

Modulating proton distribution under high speed electric pulses in strongly correlated perovskite nickelates

Running artificial intelligence can require a mind-boggling amount of energy. Of course, this is not likely in all cases, yet advanced applications can really consume a lot of energy – as such the imperative to make the way these algorithms run more energy-efficient is quite considerable.

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A figure representing an overview of results. Letters are explained in the original study at Nature.

“Mimicking these features in hardware is potentially interesting for brain-inspired computing.”

Potentially does however mean that it is still in the works.

Written by

AI Policy and Ethics at www.nora.ai. Student at University of Copenhagen MSc in Social Data Science. All views are my own. twitter.com/AlexMoltzau

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