A processing-in-pixel-in-memory paradigm for resource-constrained TinyML applications

The demand to process vast amounts of data generated from state-of-the-art high resolution cameras has motivated novel energy-efficient on-device AI solutions. Visual data in such cameras are usually captured in analog voltages by a sensor pixel array, and then converted to the digital domain for su...

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Detalles Bibliográficos
Autores principales: Datta, Gourav, Kundu, Souvik, Yin, Zihan, Lakkireddy, Ravi Teja, Mathai, Joe, Jacob, Ajey P., Beerel, Peter A., Jaiswal, Akhilesh R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9399136/
https://www.ncbi.nlm.nih.gov/pubmed/35999235
http://dx.doi.org/10.1038/s41598-022-17934-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9399136/
https://www.ncbi.nlm.nih.gov/pubmed/35999235
http://dx.doi.org/10.1038/s41598-022-17934-1

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