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 ...
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
A Streamlit WebRTC web app that can identify whether a face comes from a real person or a fake person and prevents the system from giving false verification. I would highly suggest all of you to take ...
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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