Energy-Efficient Bayesian Inference Using Bitstream Computing
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DOI: 10.1109/lca.2023.3238584
Abstract: Uncertainty quantification is critical to many machine learning applications especially in mobile and edge computing tasks like self-driving cars, robots, and mobile devices. Bayesian Neural Networks can be used to provide these uncertainty quantifications but… read more here.
Keywords: bitstream; efficient bayesian; energy; bayesian inference ... See more keywords