565 citations · 838 across the 18 of their papers we have counts for
4 papers · 1 filter
Stochastic dynamics of granular hopper flows: a configurational mode controls the stability of clogs
David Hathcock, Sam Dillavou, Jesse M. Hanlan +2
Granular flows in small-outlet hoppers exhibit several characteristic but poorly understood behaviors: temporary clogs (pauses) where flow stops before later spontaneously restarti…
Machine Learning Without a Processor: Emergent Learning in a Nonlinear Electronic Metamaterial
Sam Dillavou, Benjamin D Beyer, Menachem Stern +3
Standard deep learning algorithms require differentiating large nonlinear networks, a process that is slow and power-hungry. Electronic learning metamaterials offer potentially fas…
Physical learning of power-efficient solutions
Menachem Stern, Sam Dillavou, Dinesh Jayaraman +2
As the size and ubiquity of artificial intelligence and computational machine learning (ML) models grow, their energy consumption for training and use is rapidly becoming economica…
Bellybutton: Accessible and Customizable Deep-Learning Image Segmentation
Sam Dillavou, Jesse M. Hanlan, Anthony T. Chieco +4
The conversion of raw images into quantifiable data can be a major hurdle in experimental research, and typically involves identifying region(s) of interest, a process known as seg…