Results 171 to 180 of about 13,015 (262)
Error-aware probabilistic training for memristive neural networks. [PDF]
Liu J +8 more
europepmc +1 more source
Advanced Memristor Modeling: Memristor Circuits and Networks
The investigation of new memory schemes, neural networks, computer systems and many other improved electronic devices is very important for future generations of electronic circuits and for their widespread application in all the areas of industry. Relatedly, the analysis of new efficient and advanced electronic elements and circuits is an essential ...
openaire +2 more sources
We address multilayer PCB anomaly detection for smart manufacturing by physical reservoir computing with HfO2‐based memristors. Crystallinity‐tuned HfO2 suppresses ferroelectricity while preserving the high‐k insulating state and confers strong short‐term memory.
Yongho Lee +7 more
wiley +1 more source
Synthesis of Large-Area 2D Prussian Blue as Ion-Transport Channels for Non-Volatile Memristors. [PDF]
Torres-Cavanillas R +9 more
europepmc +1 more source
CAUIM: Amazonian Cassava‐Based Programmable Biocolloid
Bridging indigenous heritage and computation, this work introduces the usage of cauim, a traditional Amazonian cassava fermented beverage, as a programmable memristive‐like substrate and resistance switching. The material exhibits frequency‐dependent dynamics enabling reconfigurable Boolean logic operations.
Raphael Fortulan +5 more
wiley +1 more source
Multisensory Neuromorphic Devices: From Physics to Integration. [PDF]
Gui A, Mu H, Yang R, Zhang G, Lin S.
europepmc +1 more source
A Flexible and Energy‐Efficient Compute‐in‐Memory Accelerator for Kolmogorov–Arnold Networks
This article presents KA‐CIM, a compute‐in‐memory accelerator for Kolmogorov–Arnold Networks (KANs). It enables flexible and efficient computation of arbitrary nonlinear functions through cross‐layer co‐optimization from algorithm to device. KA‐CIM surpasses CPU, ASIC, VMM‐CIM, and prior KAN accelerators by 1–3 orders of magnitude in energy‐delay ...
Chirag Sudarshan +6 more
wiley +1 more source
A ferroelectric-memristor memory for both training and inference. [PDF]
Martemucci M +11 more
europepmc +1 more source
We report a biodegradable electrolyte‐gated synaptic phototransistor that combines low‐power UV sensing with memory functionality, offering a sustainable platform for AI vision systems and health‐monitoring technologies. Presented here is a biodegradable, bioinspired synaptic phototransistor (SPT) based on an electrolyte‐gated field‐effect transistor ...
Theodoros Serghiou +5 more
wiley +1 more source
Wafer-scale fabrication of memristive passive crossbar circuits for brain-scale neuromorphic computing. [PDF]
Choi S +4 more
europepmc +1 more source

