Wearable in-sensor reservoir computing using optoelectronic polymers with through-space charge-transport characteristics for multi-task learning

In-sensor multi-task learning is not only the key merit of biological visions but also a primary goal of artificial-general-intelligence. However, traditional silicon-vision-chips suffer from large time/energy overheads. Further, training conventional deep-learning models is neither scalable nor aff...

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Detalles Bibliográficos
Autores principales: Wu, Xiaosong, Wang, Shaocong, Huang, Wei, Dong, Yu, Wang, Zhongrui, Huang, Weiguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9884246/
https://www.ncbi.nlm.nih.gov/pubmed/36709349
http://dx.doi.org/10.1038/s41467-023-36205-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9884246/
https://www.ncbi.nlm.nih.gov/pubmed/36709349
http://dx.doi.org/10.1038/s41467-023-36205-9

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