Researchers at the University of Cambridge have developed a high-performance memristor using a specialized hafnium oxide.
A memristor is a low-energy component that mimics how our brain cells connect, helping conserve energy.
This nanoelectronic device could potentially reduce AI energy consumption by up to 70%.
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