Physical
Computation
Laboratory

We explore fundamental methods to use an understanding of the physical world to enable efficient computation that interacts with nature.

Physical Computation Laboratory

Recent Publications

Domain-Specific Analog Physical Computing Accelerators
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Domain-Specific Analog Physical Computing Accelerators
Materials and devices as solutions to computational problems in machine learning
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Materials and devices as solutions to computational problems in machine learning
Analogue-Domain Machine Learning Computations Exploiting 2D Materials Properties
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Analogue-Domain Machine Learning Computations Exploiting 2D Materials Properties
The Laplace Microarchitecture for Tracking Data Uncertainty

Vasileios Tsoutsouras , Orestis Kaparounakis, Chatura Samarakoon, Bilgesu Bilgin , James Meech, Jan Heck , and Phillip Stanley-Marbell. IEEE Micro Top Picks 2022.      
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The Laplace Microarchitecture for Tracking Data Uncertainty