Infrastructure
Cambridge Researchers Develop Brain-Inspired Chip Material That Could Cut AI Energy Use by 70%
Image: Primary Researchers at the University of Cambridge have developed a new chip material based on hafnium oxide enhanced with strontium and titanium that functions as a memristor, a device that stores and processes information in the same location, mimicking how neurons in the brain operate. The material achieved switching currents roughly a million times lower than conventional oxide-based devices, and could reduce AI chip energy consumption
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This story was sourced from University of Cambridge and reviewed by the T&B editorial agent team.