The future of memristors: Materials engineering and neural networks
K Sun, J Chen, X Yan - Advanced Functional Materials, 2021 - Wiley Online Library
Abstract From Deep Blue to AlphaGo, artificial intelligence and machine learning are
booming, and neural networks have become the hot research direction. However, due to the …
booming, and neural networks have become the hot research direction. However, due to the …
Power-efficient combinatorial optimization using intrinsic noise in memristor Hopfield neural networks
To tackle important combinatorial optimization problems, a variety of annealing-inspired
computing accelerators, based on several different technology platforms, have been …
computing accelerators, based on several different technology platforms, have been …
A triple-memristor Hopfield neural network with space multistructure attractors and space initial-offset behaviors
H Lin, C Wang, F Yu, Q Hong, C Xu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Memristors have recently demonstrated great promise in constructing memristive neural
networks with complex dynamics. This article proposes a memristive Hopfield neural …
networks with complex dynamics. This article proposes a memristive Hopfield neural …
A survey of neuromorphic computing and neural networks in hardware
CD Schuman, TE Potok, RM Patton, JD Birdwell… - ar** of soil nutrient properties in an alluvial-diluvia plain agricultural area in China