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Cambridge Researchers Create a Brain-Inspired Chip that Can Reduce 70% of Ai Power
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Scientists from Cambridge University have developed a new nanoelectronic device. Technology mimics the functioning of neurons and promises to reduce the energy consumption of artificial intelligence systems by up to 70%. Advance uses a modified version of hafnium oxide. The component acts as a memristor of high stability and low consumption. Ele combines storage and data processing at the same location, unlike traditional chips that constantly t…
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