Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
Recent years have seen a proliferation of specialized ML accelerators—proposed in both academia (e.g., Gemmini, FEATHER) and industry (e.g., Google TPU, Intel AMX)—that depart significantly from ...
The world’s most popular programming language is losing market share to more specialized languages such as R and Perl, Tiobe ...
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
Abstract: Emerging sensing applications create an unprecedented need for energy efficiency in programmable processors. To achieve useful multi-year deployments on a small battery or energy harvester, ...
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