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Advancing the Foundations of Probabilistic Computing
Advancing the Foundations of Probabilistic Computing
The Probabilistic Computing Lab (PCL) is an independent nonprofit research institute dedicated to foundational and applied research in probabilistic computing. Our work explores new mathematical and computational approaches to probability, computation, physical systems, and complex scientific and engineering problems.
Research at PCL
Research at PCL
PCL develops foundational approaches to probabilistic computation and investigates their applications across computation, optimization, physical modeling, artificial intelligence, and complex scientific and engineering systems.
Our research combines fundamental mathematical questions with the development of computational methods and practical applications.
Foundations of Probabilistic Computing
Mathematical and conceptual foundations of probability and new approaches to probabilistic computation.
Computation & Optimization
Probabilistic approaches to computationally difficult problems in optimization, scientific computing, and engineering.
Molecular & Physical Systems
New computational approaches to modeling complex molecular and physical systems.
Artificial Intelligence & Complex Systems
Probabilistic computation for systems operating under uncertainty, incomplete information, and complexity.
Research Leadership
Research Leadership
PCL brings together scientific, engineering, academic, and organizational leadership with experience spanning foundational physics, advanced computing, technology development, and scientific innovation.
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