Bioinspired and Low-Power 2D Machine Vision with Adaptive Machine Learning and Forgetting-Reference-Cited by-同舟云学术

Bioinspired and Low-Power 2D Machine Vision with Adaptive Machine Learning and Forgetting

Published:2022-10-28 Issue:12 Volume:16 Page:20010-20020
ISSN:1936-0851
Container-title:ACS Nano
language:en
Short-container-title:ACS Nano

Author:

Dodda Akhil¹,Jayachandran Darsith¹,Subbulakshmi Radhakrishnan Shiva¹,Pannone Andrew¹,Zhang Yikai¹,Trainor Nicholas²,Redwing Joan M.²³^ORCID,Das Saptarshi¹²³⁴^ORCID

Affiliation:

1. Engineering Science and Mechanics, Penn State University, University Park, Pennsylvania 16802, United States

2. Materials Science and Engineering, Penn State University, University Park, Pennsylvania 16802, United States

3. Materials Research Institute, Penn State University, University Park, Pennsylvania 16802, United States

4. Electrical Engineering and Computer Science, Penn State University, University Park, Pennsylvania 16802, United States

Funder

Army Research Office

Division of Electrical, Communications and Cyber Systems

Division of Materials Research

Publisher

American Chemical Society (ACS)

Subject

General Physics and Astronomy,General Engineering,General Materials Science

Link

https://pubs.acs.org/doi/pdf/10.1021/acsnano.2c02906

Reference70 articles.

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3. A survey of deep neural network architectures and their applications

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