Video Abstracts



Low-Power, High-Speed Analog Computing

M. Hu, C. E. Graves, C. Li, Y. Li, N. Ge, E. Montgomery, N. Davila, H. Jiang, R. S. Williams, J. J. Yang, Q. Xia, J. P. Strachan, Advanced Materials 2018, 30, 1705914.

Researchers from the University of Massachusetts and Hewlett Packard Labs present a memristor platform for analog computations and forecast a device performance at least 16 times greater than purely digital solutions.


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