Fast, low-power, stable, and durable: a new universal memory

Computers tackle growing data for drug discovery, weather prediction, AI training. Demand calls for faster, energy-efficient memory.

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Asir Intisar Khan , Inez Kerr Bell , Stanford Systemx Allianceand , Philip Wong , Stanford Bio , Xiangjin Wu , University Of Maryland , Nature Communications , Precourt Institute For Energy , School Of Engineering , Pease Ye Professor , Electrical Engineering , Materials Science , Inez Kerr Bell Professor , Intisar Khan , Systemx Allianceand , Newswise , Omputer Memory Data Storage Energy Computer Hardware Artificial Intelligence , All Journal News , Artificial Intelligence , Climate Science , Energy , Engineering , Environmental Health , Environmental Science , Pharmaceuticals , Supercomputing , Technology , Stanford University ,