Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Zhenghui Gong

Showing results (1-10 of 2) with videos related to

Pageof 1
Sort By:
Micromachines|May 25, 2024
DAM SRAM CORE: An Efficient High-Speed and Low-Power CIM SRAM CORE Design for Feature Extraction Convolutional Layers in Binary Neural NetworksRuiyong Zhao, Zhenghui Gong, Yulan Liu, et al.
Micromachines|December 23, 2023
A High-Precision Voltage-Quantization-Based Current-Mode Computing-in-Memory SRAMRuiyong Zhao, Zhenghui Gong, Yulan Liu, et al.
Pageof 1

Showing results (1-10 of 2) with videos related to

Sort By:
Pageof 1
Micromachines|May 25, 2024
DAM SRAM CORE: An Efficient High-Speed and Low-Power CIM SRAM CORE Design for Feature Extraction Convolutional Layers in Binary Neural NetworksRuiyong Zhao, Zhenghui Gong, Yulan Liu, et al.
Micromachines|December 23, 2023
A High-Precision Voltage-Quantization-Based Current-Mode Computing-in-Memory SRAMRuiyong Zhao, Zhenghui Gong, Yulan Liu, et al.
Pageof 1