Linear Weight Update Synaptic Responses in Ferrimagnetic Neuromorphic Devices
Sign Up to like & getrecommendations! Published in 2024 at "Advanced Electronic Materials"
DOI: 10.1002/aelm.202400591
Abstract: Ferrimagnetic materials with antiparallel exchange coupling, exhibit spin‐orbit‐torque‐induced dynamics, offering an emerging platform for realizing neuromorphic devices, such as artificial synapses. However, the state‐of‐the‐art artificial synapses based on ferrimagnet suffer from poor analog switching linearity,… read more here.
Keywords: responses ferrimagnetic; neuromorphic devices; update synaptic; synaptic responses ... See more keywords
Pattern Recognition Using Carbon Nanotube Synaptic Transistors with an Adjustable Weight Update Protocol.
Sign Up to like & getrecommendations! Published in 2017 at "ACS nano"
DOI: 10.1021/acsnano.6b07894
Abstract: Recent electronic applications require an efficient computing system that can perform data processing with limited energy consumption. Inspired by the massive parallelism of the human brain, a neuromorphic system (hardware neural network) may provide an… read more here.
Keywords: pattern recognition; system; weight update; update protocol ... See more keywords
Parallel weight update protocol for a carbon nanotube synaptic transistor array for accelerating neuromorphic computing.
Sign Up to like & getrecommendations! Published in 2020 at "Nanoscale"
DOI: 10.1039/c9nr08979a
Abstract: Brain-inspired neuromorphic computing has the potential to overcome the inherent inefficiency of the conventional von Neumann architecture by using the massively parallel processing power of artificial neural networks. Neuromorphic parallel processing can be implemented naturally… read more here.
Keywords: array; parallel weight; weight update; weight ... See more keywords
Improvement of the Symmetry and Linearity of Synaptic Weight Update by Combining the InGaZnO Synaptic Transistor and Memristor
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3366224
Abstract: Obtaining symmetrical and highly linear synapse weight update characteristics of analog resistive switching devices is critical for attaining high performance and energy efficiency of the neural network system. In this work, based on the two-terminal… read more here.
Keywords: memristor; transistor; symmetry linearity; improvement symmetry ... See more keywords
Weight Update Skipping: Reducing Training Time for Artificial Neural Networks
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal on Emerging and Selected Topics in Circuits and Systems"
DOI: 10.1109/jetcas.2021.3127907
Abstract: Artificial Neural Networks (ANNs) are known as state-of-the-art techniques in Machine Learning (ML) and have achieved outstanding results in data-intensive applications, such as recognition, classification, and segmentation. These networks mostly use deep layers of convolution… read more here.
Keywords: time; training time; update skipping; weight update ... See more keywords
Online Multipath Routing via Multiplicative Weight Update
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Systems Journal"
DOI: 10.1109/jsyst.2021.3114393
Abstract: The multiplicative weight update (MWU) schema is a powerful tool to design online routing algorithms. However, even the latest research still employs or incorporates the inefficient online single-path routing (OSR) algorithm. In this article, we… read more here.
Keywords: multipath; multiplicative weight; online multipath; weight update ... See more keywords
Resistive Memory-Based Analog Synapse: The Pursuit for Linear and Symmetric Weight Update
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Nanotechnology Magazine"
DOI: 10.1109/mnano.2018.2844902
Abstract: This article reviews the recent developments in a type of random access memory (RAM) called resistive RAM (RRAM) for the analog synapse, which is an important building block for neuromorphic computing systems. To achieve high… read more here.
Keywords: symmetric weight; weight update; analog; analog synapse ... See more keywords
Enzymatic Weight Update Algorithm for DNA-Based Molecular Learning
Sign Up to like & getrecommendations! Published in 2019 at "Molecules"
DOI: 10.3390/molecules24071409
Abstract: Recent research in DNA nanotechnology has demonstrated that biological substrates can be used for computing at a molecular level. However, in vitro demonstrations of DNA computations use preprogrammed, rule-based methods which lack the adaptability that… read more here.
Keywords: enzymatic weight; algorithm; weight update; dna ... See more keywords