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 ...

Adriana Goblirsch sits in front of her camera with wet hair in bathrobe. She’s doing a “get ready with me video,” on Instagram which is common in the influencer space when, usually a woman, talks to ...

Abstract: The demand for higher data rates combined with the crowded wireless spectrum results in a trend towards millimeter-wave frequencies. RF-sampling architectures offer advantages in terms of ...