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Scientists have created a new type of nanoelectronic device that could significantly reduce how much energy artificial intelligence systems consume. The innovation works by copying how the human brain processes information, offering a more efficient alternative to today's power-hungry AI hardware.
The research team, led by the University of Cambridge, developed a modified version of hafnium oxide that functions as a highly stable, low-energy 'memristor' -- a c...

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