Toward Fast Neural Computing using All-Photonic Phase Change Spiking Neurons
Sign Up to like & getrecommendations! Published in 2018 at "Scientific Reports"
DOI: 10.1038/s41598-018-31365-x
Abstract: The rapid growth of brain-inspired computing coupled with the inefficiencies in the CMOS implementations of neuromrphic systems has led to intense exploration of efficient hardware implementations of the functional units of the brain, namely, neurons… read more here.
Keywords: neural computing; phase; fast neural; phase change ... See more keywords
Fault-Tolerant Training Enabled by On-Line Fault Detection for RRAM-Based Neural Computing Systems
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"
DOI: 10.1109/tcad.2018.2855145
Abstract: An resistive random-access memory (RRAM)-based computing system (RCS) is an attractive hardware platform for implementing neural computing algorithms. On-line training for RCS enables hardware-based learning for a given application and reduces the additional error caused… read more here.
Keywords: fault tolerant; training; rram; line ... See more keywords
Rapid prototyping mixed-signal development kit for tactile neural computing
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2023.1118615
Abstract: Intelligent sensor systems are essential for building modern Internet of Things applications. Embedding intelligence within or near sensors provides a strong case for analog neural computing. However, rapid prototyping of analog or mixed signal spiking… read more here.
Keywords: rapid prototyping; development kit; neural computing; prototyping mixed ... See more keywords
Quantum Neural Network for Quantum Neural Computing
Sign Up to like & getrecommendations! Published in 2023 at "Research"
DOI: 10.34133/research.0134
Abstract: Neural networks have achieved impressive breakthroughs in both industry and academia. How to effectively develop neural networks on quantum computing devices is a challenging open problem. Here, we propose a new quantum neural network model… read more here.
Keywords: neural network; network quantum; quantum neural; neural computing ... See more keywords