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Hybrid Memristor AI Chips Could Scale
IEEE Spectrum spectrum.ieee.org
By combining atomically thin devices with conventional microchips, scientists have created brain-mimicking hybrid electronics that can help implement neural-network artificial-intelligence systems in a far more energy-efficient way than standard electronics, a new study finds.
As electronics become tinier and tinier, scientists are investigating atomically thin 2D materials for next-generation electronics. For example, graphene consists of single layers of carbon atoms, and molybdenum disulfide is made of a sheet of molybdenum atoms sandwiched between two layers of sulfur atoms.
“Two-dimensional …
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