This title appears in the Scientific Report :
2022
Please use the identifier:
http://hdl.handle.net/2128/31490 in citations.
Please use the identifier: http://dx.doi.org/10.1109/TED.2021.3095430 in citations.
Redundancy and Analog Slicing for Precise In-Memory Machine Learning—Part II: Applications and Benchmark
Redundancy and Analog Slicing for Precise In-Memory Machine Learning—Part II: Applications and Benchmark
Saved in:
Personal Name(s): | Pedretti, Giacomo |
---|---|
Mannocci, Piergiulio / Li, Can / Sun, Zhong / Strachan, John Paul / Ielmini, Daniele | |
Contributing Institute: |
Neuromorphic Compute Nodes; PGI-14 |
Published in: | IEEE transactions on electron devices, 68 (2021) 9, S. 4379 - 4383 |
Imprint: |
New York, NY
IEEE
2021
|
DOI: |
10.1109/TED.2021.3095430 |
Document Type: |
Journal Article |
Research Program: |
Emerging NC Architectures |
Link: |
OpenAccess |
Publikationsportal JuSER |
Please use the identifier: http://dx.doi.org/10.1109/TED.2021.3095430 in citations.
Description not available. |