Enabling real-time adaptation of machine learning models at x-ray Free Electron Laser facilities with high-speed training optimized computational hardware

Autor: Petro Junior Milan, Hongqian Rong, Craig Michaud, Naoufal Layad, Zhengchun Liu, Ryan Coffee

Publikováno v: Frontiers in Physics, Vol 10 (2022)

The emergence of novel computational hardware is enabling a new paradigm for rapid machine learning model training. For the Department of Energy’s major research facilities, this developing technology will enable a highly adaptive approach to exper

Externí odkaz: https://doaj.org/article/7024d4a18bd841bdb893a637f1dc3c38

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Low Power Tiny Binary Neural Network with improved accuracy in Human Recognition Systems

Autor: Frédéric Pétrot, Gian Domenico Licciardo, Luigi Di Benedetto, Antonio De Vita, Alfredo Rubino, Danilo Pau

Publikováno v: 2020 23rd Euromicro Conference on Digital System Design (DSD)
Euromicro Conference on Digital System Design (DSD 2020)
Euromicro Conference on Digital System Design (DSD 2020), Aug 2020, Kranj (virtual), Slovenia. pp.309-315, ⟨10.1109/DSD51259.2020.00057⟩
DSD

International audience; Human Activity Recognition requires very high accuracy to be effectively employed into practical applications, ranging from elderly care to microsurgical devices. The highest accuracies are achieved by Deep Learning models, bu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ca2f5cf4dd25209128e5183620cf526
http://hdl.handle.net/11386/4754871

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