The Physical Computation Laboratory investigates methods for exploiting knowledge of the physical properties of materials to create more efficient computation structures (e.g., AI hardware accelerators) which process data from the physical world.
Nathaniel Tye, Stephan Hofmann, Phillip Stanley-Marbell, ArXiv preprint.
N. J. Tye, J. T. Meech, B. A. Bilgin, and P. Stanley-Marbell, 31st IEEE International Conference on Application-specific Systems, Architectures and Processors, July 2020.
Phillip Stanley-Marbell, HotPower '15: Proceedings of the Workshop on Power-Aware Computing and Systems October 2015.