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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.

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AI Policy and Ethics at Student at University of Copenhagen MSc in Social Data Science. All views are my own.

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