Energy-Efficient Bayesian Inference Using Bitstream Computing
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Computer Architecture Letters"
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
A Fast, Energy Efficient and Tunable Magnetic Tunnel Junction Based Bitstream Generator for Stochastic Computing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2022.3173030
Abstract: This paper presents a full hardware implementation of a magnetic tunnel junction based stochastic tunable bitstream generator. It provides highly accurate control of the switching probability, while showing important robustness to process and temperature variations.… read more here.
Keywords: tunnel junction; junction based; magnetic tunnel; bitstream ... See more keywords
Efficient Privacy-Preserving Anomaly Detection and Localization in Bitstream Video
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2019.2929855
Abstract: In cloud computing, videos may be in an encrypted format to protect privacy. Therefore, encrypted video processing is an important application in secure cloud computing. In this paper, we focus on parameter estimation and anomaly… read more here.
Keywords: video; detection localization; anomaly detection; privacy ... See more keywords