Title: Bespoke Machine Learning Processor Development Framework on Flexible Substrates
Abstract: This paper proposes a framework for the design of bespoke machine learning (ML) processors on flexible substrates (e.g. plastic) to address an important need in flexible and wearable applications - a processing engine of the flexible electronics applications. The proposed framework automates the design of bespoke ML processors on flexible substrates to reduce development time, and therefore the time-to-market.
Publication Year: 2019
Publication Date: 2019-07-01
Language: en
Type: article
Indexed In: ['crossref']
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Cited By Count: 12
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