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Suman Hu

Showing results (1-10 of 4) with videos related to

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Frontiers in Computational Neuroscience|March 29, 2021
Spiking Neural Network (SNN) With Memristor Synapses Having Non-linear Weight UpdateTaeyoon Kim, Suman Hu, Jaewook Kim, et al.
ACS Applied Materials & Interfaces|May 17, 2022
Energy-Efficient III-V Tunnel FET-Based Synaptic Device with Enhanced Charge Trapping Ability Utilizing Both Hot Hole and Hot Electron Injections for Analog Neuromorphic ComputingDae-Hwan Ahn, Suman Hu, Kyeol Ko, et al.
Nature Communications|July 13, 2022
Cluster-type analogue memristor by engineering redox dynamics for high-performance neuromorphic computingJaehyun Kang, Taeyoon Kim, Suman Hu, et al.
Small (Weinheim an Der Bergstrasse, Germany)|September 15, 2025
Achieving Low-Power Analog Resistive Switching in Filamentary Memristive Devices for Energy-Efficient Analog In-Memory ComputingJaehyun Kang, Sungmin Lee, Taeyoon Kim, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Frontiers in Computational Neuroscience|March 29, 2021
Spiking Neural Network (SNN) With Memristor Synapses Having Non-linear Weight UpdateTaeyoon Kim, Suman Hu, Jaewook Kim, et al.
ACS Applied Materials & Interfaces|May 17, 2022
Energy-Efficient III-V Tunnel FET-Based Synaptic Device with Enhanced Charge Trapping Ability Utilizing Both Hot Hole and Hot Electron Injections for Analog Neuromorphic ComputingDae-Hwan Ahn, Suman Hu, Kyeol Ko, et al.
Nature Communications|July 13, 2022
Cluster-type analogue memristor by engineering redox dynamics for high-performance neuromorphic computingJaehyun Kang, Taeyoon Kim, Suman Hu, et al.
Small (Weinheim an Der Bergstrasse, Germany)|September 15, 2025
Achieving Low-Power Analog Resistive Switching in Filamentary Memristive Devices for Energy-Efficient Analog In-Memory ComputingJaehyun Kang, Sungmin Lee, Taeyoon Kim, et al.
Pageof 1