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New Stanford Compute-In-Memory Chip Promises to Bring Efficient AI to Low-Power Devices
Aug. 21, 2022, 9 p.m. | Sergio De Simone
InfoQ - AI, ML & Data Engineering www.infoq.com
In a paper recently published in Nature, Stanford researchers presented a new compute-in-memory (CIM) chip using resistive random-access memory (RRAM) that promises to bring energy efficient AI capabilities to edge devices.
By Sergio De Simoneai artificial intelligence chip compute development devices edge edge computing embedded devices internet of things memory ml & data engineering news power smart home stanford
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