SOURCE-LINKED INTELLIGENCE

FUSE2 TOPIC 1: CO-DESIGN OF 3D VERTICAL BACK-END-OF-LINE FERROELECTRIC MEMCAPACITORS AND IN-MEMORY COMPUTING CIRCUITS FOR EXTREME ENERGY EFFICIENCY IN COMPUTING -ENERGY USE FOR COMPUTING IS EVER-INCREASING, PARTICULARLY

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FUSE2 TOPIC 1: CO-DESIGN OF 3D VERTICAL BACK-END-OF-LINE FERROELECTRIC MEMCAPACITORS AND IN-MEMORY COMPUTING CIRCUITS FOR EXTREME ENERGY EFFICIENCY IN COMPUTING -ENERGY USE FOR COMPUTING IS EVER-INCREASING, PARTICULARLY WITH THE GROWTH OF ARTIFICIAL INTELLIGENCE (AI) AND MACHINE LEARNING. MODERN AI REQUIRES LARGE DATACENTERS THAT HOUSE THOUSANDS OF SPECIALIZED COMPUTERS THAT ARE USED TO TRAIN AI MODELS AND GENERATE RESPONSES TO QUERIES. THESE DATACENTERS REQUIRE HUGE AMOUNTS OF ELECTRICITY, AND THEY GENERATE SO MUCH HEAT THAT EXTENSIVE COOLING SYSTEMS ARE NEEDED TO PREVENT THE COMPUTERS FROM O

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award

region

US

value

1899999

unit

USD