Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile
Articles by Mark Barnell
Survey of Deep Learning Accelerators for Edge and Emerging Computing
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Survey of Deep Learning Accelerators for Edge and Emerging Computing
Preprint Review Version 1 This version is not peer-reviewed Version 1 : Received: 30 June 2024 / Approved: 1 July 2024 / Online: 1 July 2024 (11:20:49 CEST) Alam, M. S.; Yakopcic, C.; Wu, Q.; Barnell, M.; Khan, S.; Taha, T. M. Survey of Deep Learning Accelerators for Edge and Emerging Computing. Preprints 2024, 2024070025. https://doi.org/10.20944/preprints202407.0025.v1 Alam, M. S.; Yakopcic, C.; Wu, Q.; Barnell, M.; Khan, S.; Taha, T. M.
Programming memristor arrays with arbitrarily high precision for analog computing
Show More
loading
Actions
Is this you?
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.Get in touch with Mark
Contact Mark, search articles and posts on X, monitor coverage, and track replies from one place.
Learn more about Muck Rack