Showing results (1-10 of 316) with videos related to
Sort By:
Pageof 32
Frontiers in Neuroscience|March 17, 2020
Algorithm for Training Neural Networks on Resistive Device ArraysTayfun Gokmen, Wilfried HaenschFrontiers in Neuroscience|October 26, 2017
Training Deep Convolutional Neural Networks with Resistive Cross-Point DevicesTayfun Gokmen, Murat Onen, Wilfried HaenschFrontiers in Neuroscience|November 9, 2018
Training LSTM Networks With Resistive Cross-Point DevicesTayfun Gokmen, Malte J Rasch, Wilfried HaenschNano Letters|December 22, 2010
Large-scale graphene transistors with enhanced performance and reliability based on interface engineering by phenylsilane self-assembled monolayersZihong Liu, Ageeth A Bol, Wilfried HaenschACS Nano|July 8, 2014
Defining and overcoming the contact resistance challenge in scaled carbon nanotube transistorsAaron D Franklin, Damon B Farmer, Wilfried HaenschFrontiers in Artificial Intelligence|October 21, 2024
LRMP: Layer Replication with Mixed Precision for spatial in-memory DNN acceleratorsAbinand Nallathambi, Christin David Bose, Wilfried Haensch, et al.Frontiers in Neuroscience|August 17, 2019
RAPA-ConvNets: Modified Convolutional Networks for Accelerated Training on Architectures With Analog ArraysMalte J Rasch, Tayfun Gokmen, Mattia Rigotti, et al.ACS Nano|June 8, 2012
Evaluation of field-effect mobility and contact resistance of transistors that use solution-processed single-walled carbon nanotubesQing Cao, Shu-Jen Han, George S Tulevski, et al.Nature Communications|January 31, 2014
Graphene radio frequency receiver integrated circuitShu-Jen Han, Alberto Valdes Garcia, Satoshi Oida, et al.Advanced Materials (Deerfield Beach, Fla.)|December 29, 2022
Compute in-Memory with Non-Volatile Elements for Neural Networks: A Review from a Co-Design PerspectiveWilfried Haensch, Anand Raghunathan, Kaushik Roy, et al.Pageof 32