Efficient and self-adaptive in-situ learning in multilayer memristor neural networks | RTCL.TV
Channel: STEM RTCL TV
Date: 2023-06-21

### Keywords ###
#neuromorphiccomputing #remainsdifficult #Memristorbasedneural #holdpromise #largescaleexperimental #experimentalexecution #executionremains #RTCLTV #shorts

### Article Attribution ###
Title: Efficient and self-adaptive in-situ learning in multilayer memristor neural networks
Authors: Can Li, Daniel Belkin, Yunning Li, Peng Yan, Miao Hu, Ning Ge, Hao Jiang, Eric Montgomery, Peng Lin, Zhongrui Wang, Wenhao Song, John Paul Strachan, Mark Barnell, Qing Wu, R. Stanley Williams, J. Joshua Yang ,and Qiangfei Xia
Publisher: Nature Portfolio
DOI: 10.1038/s41467-018-04484-2
DOAJ URL: https://doaj.org/article/b4e8c66198ed41eea8aa429291ec599c
Source URL: https://doi.org/10.1038/s41467-018-04484-2



### Image Attribution ###
We used stable diffusion to programmatically generate the background images. 
Viewer discretion is advised.

### Channels ###
YouTube Channel: https://www.youtube.com/@stemrtcltv
Odysee Channel: https://odysee.com/@stem_rtcl_tv

### Video Timestamps ###
0:00:00 - Summary 
0:00:18 - Title 
0:00:23 - End