Artificial neural networks could soon be able to process time-dependent information such as audio and video data more efficiently than before. In a study led by the University of Michigan (U-M), the first memristor with an adjustable "relaxation time" is reported in "Nature Electronics".
Memristors, electrical components that store information in their electrical resistance, could reduce the energy requirements of artificial intelligence by around 90 times compared to today's graphical processing units. It is already predicted that AI will account for around half a percent of total global electricity consumption in 2027, and this figure could increase as more companies sell and deploy AI tools.
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