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The first tensor processor chip based on carbon nanotubes could lead to energy-efficient AI processing

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Summary
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Researchers at Peking University and other institutes in China recently developed a highly promising tensor processing unit ( TPU ) based on carbon nanotubes.

The chip could be used to run AI algorithms more energy-efficiently.

The researchers say their efforts could eventually help accelerate the operations of convolutional neural networks while reducing their power consumption.

DOI: 10.1038 /s41928-024-01211-2. 2024 Science X NetworkThis story was originally published on Tech Xplore . Subscribe to our newsletter for the latest sci-tech news updates..

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