z-logo
open-access-imgOpen Access
Organismic materials for beyond von Neumann machines
Author(s) -
Haitian Zhang,
Priyadarshini Panda,
Jerome Lin,
Yoav Kalcheim,
Kai Wang,
J. W. Freeland,
Dillon D. Fong,
Shashank Priya,
Iván K. Schuller,
Subramanian K. R. S. Sankaranarayanan,
Kaushik Roy,
Shriram Ramanathan
Publication year - 2020
Publication title -
applied physics reviews
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 5.084
H-Index - 66
ISSN - 1931-9401
DOI - 10.1063/1.5113574
Subject(s) - von neumann architecture , computer science , artificial neural network , associative learning , biological neural network , artificial intelligence , metastability , living systems , content addressable memory , realization (probability) , biological system , physics , neuroscience , machine learning , mathematics , biology , statistics , quantum mechanics , operating system

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here