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Sidra Gibeault (Assoc)

Sidra Gibeault is a Ph.D. student in the Electrical and Computer Engineering department at the University of Maryland. She is currently working on her Ph.D. research, advised by Advait Madhavan, in the Alternative Computing Group in the Nanoscale Device Characterization Division of the Physical Measurement Laboratory (PML). Her research interests include alternate computing techniques, computer architecture, VLSI, and robotics.

Publications

Neural networks three ways: unlocking novel computing schemes using magnetic tunnel junction stochasticity

Author(s)
Matthew Daniels, William Borders, Nitin Prasad, Advait Madhavan, Sidra Gibeault, Temitayo Adeyeye, Liam Pocher, Lei Wan, Michael Tran, Jordan Katine, Daniel Lathrop, Brian Hoskins, Tiffany Santos, Patrick Braganca, Mark Stiles, Jabez J. McClelland
Due to their interesting physical properties, myriad operational regimes, small size, and industrial fabrication maturity, magnetic tunnel junctions are
Created January 4, 2022, Updated March 7, 2023