Results 101 to 110 of about 19,662,716 (202)

Artificial Synapse Emulated by Indium Tin Oxide/SiN/TaN Resistive Switching Device for Neuromorphic System. [PDF]

Nanomaterials (Basel), 2023
Ju D, Kim S, Kim S.
europepmc   +1 more source

Improved Uniformity of TaO_x-Based Resistive Switching Memory Device by Inserting Thin SiO₂ Layer for Neuromorphic System. [PDF]

Materials (Basel), 2023
Ju D, Kim S, Jang J, Kim S.
europepmc   +1 more source

Editorial: Powering the next-generation IoT applications: new tools and emerging technologies for the development of Neuromorphic System of Systems. [PDF]

Front Neurosci, 2023
Urgese G, Rios-Navarro A, Linares-Barranco A, Stewart TC, Michmizos K.   +4 more
europepmc   +1 more source

The BrainScaleS-2 Accelerated Neuromorphic System With Hybrid Plasticity. [PDF]

Front Neurosci, 2022
Pehle C, Billaudelle S, Cramer B, Kaiser J, Schreiber K, Stradmann Y, Weis J, Leibfried A, Müller E, Schemmel J.   +9 more
europepmc   +1 more source

Resistive Switching and Synaptic Characteristics in ZnO/TaON-Based RRAM for Neuromorphic System. [PDF]

Nanomaterials (Basel), 2022
Oh I, Pyo J, Kim S.
europepmc   +1 more source

Multi-level Cells and Quantized Conductance Characteristics of Al₂O₃-Based RRAM Device for Neuromorphic System. [PDF]

Nanoscale Res Lett, 2022
Lee Y, Park J, Chung D, Lee K, Kim S.
europepmc   +1 more source

Synaptic Plasticity and Quantized Conductance States in TiN-Nanoparticles-Based Memristor for Neuromorphic System. [PDF]

Nanoscale Res Lett, 2022
Mahata C, Ismail M, Kang M, Kim S.
europepmc   +1 more source

Nonideal resistive and synaptic characteristics in Ag/ZnO/TiN device for neuromorphic system. [PDF]

Sci Rep, 2021
Park J, Ryu H, Kim S.
europepmc   +1 more source

End-to-End Edge Neuromorphic Object Detection System

Neuromorphic accelerators are emerging as a potential solution to the growing power demands of Artificial Intelligence (AI) applications. Spiking Neural Networks (SNNs), which are bio-inspired architectures, are being considered as a way to address this ...
Fouda, M. E., Smagulova, Kamilya, Silva, Diego, Shymyrbay, Ayan, Eltawil, Ahmed Mohamed, Elsheikh, A.   +5 more
core   +1 more source

Low Power Optoelectronic Neuromorphic Memristor for In‐Sensor Computing and Multilevel Hardware Security Communications

Advanced Science
Conventional software‐based encryption faces mounting limitations in power efficiency and security, inspiring the development of emerging neuromorphic computing hardware encryption.
Bo Sun, Jinhao Zhang, Jialin Meng, Tianyu Wang   +3 more
doaj   +1 more source