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Fully digital design paves the way for scalable probabilistic computing
Artificial intelligence and machine learning could become dramatically more efficient, thanks to a new type of computer ...
The Virtual Brain Inference (VBI) toolkit enables efficient, accurate, and scalable Bayesian inference over whole-brain network models, improving parameter estimation, uncertainty quantification, and ...
The Poisson distribution is widely used in artificial intelligence (AI) and machine learning. In Bayesian inference, probability distributions often help solve problems that would otherwise be ...
A collaboration including the University of Oxford, University of British Columbia, Intel, New York University, CERN, and the National Energy Research Scientific Computing Center is working to make it ...
Artificial intelligence and machine learning could become dramatically more efficient, thanks to a new type of computer component developed by ...
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