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TinyM2Net-V2: A Compact Low-power Software Hardware Architecture for Multimodal Deep Neural Networks.

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Title: TinyM2Net-V2: A Compact Low-power Software Hardware Architecture for Multimodal Deep Neural Networks.
Authors: Rashid, Hasib-Al1, hrashid1@umbc.edu, Kallakuri, Utteja1, ukalla1@umbc.edu, Mohsenin, Tinoosh1, tinoosh@umbc.edu
Source: ACM Transactions on Embedded Computing Systems; May2024, Vol. 23 Issue 3, p1-23, 23p
Database: Applied Science & Technology Source
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  Data: <searchLink fieldCode="JN" term="%22ACM+Transactions+on+Embedded+Computing+Systems%22">ACM Transactions on Embedded Computing Systems</searchLink>; May2024, Vol. 23 Issue 3, p1-23, 23p
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        Value: 10.1145/3595633
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        Text: English
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      – TitleFull: TinyM2Net-V2: A Compact Low-power Software Hardware Architecture for Multimodal Deep Neural Networks.
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              Text: May2024
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