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Brain-like power: Quantum material paves way for energy-efficient computing

A team of researchers from the Quantum Materials for Energy Efficient Neuromorphic Computing (Q-MEEN-C) consortium, led by the University of California San Diego, has unlocked a hidden potential in quantum materials. This potential, known as non-local behavior, holds promise in mimicking the intricate workings of the human brain and revolutionizing energy-efficient computing. ....

Alex Fra , University Of California San Diego , Quantum Materials For Energy Efficient Neuromorphic Computing , Quantum Materials , Energy Efficient Neuromorphic Computing , California San Diego , Nano Letters , Jacobs School , Engineering Associate Professor Duygu Kuzum , Brain Like Power , Quantum Material , Efficient Computing , Human Brain , Energy Efficient Computing , Uantum Breakthrough ,

Computers that power self-driving cars could be a huge driver of global carbon emissions

An MIT model quantifies emissions that will be generated by computers on fully autonomous vehicles. If self-driving cars are widely adopted, their emissions will rival those generated by all the data centers in the world today. Keeping emissions at or below those levels would require hardware efficiency to improve more rapidly than its current pace. ....

Vivienne Sze , Soumya Sudhakar , Sertac Karaman , Laboratory For Information , Research Laboratory Of Electronics , International Energy Agency , National Science Foundation , Department Of Electrical Engineering , International Energy , Electrical Engineering , Computer Science , Research Laboratory , Decision Systems , Vivienne Sze , Sertac Karaman , Utonomous Vehicle Efficiency , Elf Driving Car Efficiency , Sustainable Computing , Energy Efficient Computing ,