Neuromorphic Spintronics
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Abstract (arXiv)
Neuromorphic spintronics combines two advanced fields in technology, neuromorphic computing and spintronics, to create brain-inspired, efficient computing systems that leverage the unique properties of the electron's spin. In this book chapter, we first introduce both fields - neuromorphic computing and spintronics and then make a case for neuromorphic spintronics. We discuss concrete examples of neuromorphic spintronics, including computing based on fluctuations, artificial neural networks, and reservoir computing, highlighting their potential to revolutionize computational efficiency and functionality.
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References · 7
- 2021Carbon Emissions and Large Neural Network Trainingcited by 561
- 2018Deep Learning in Spiking Neural Networkscited by 258
- 2020Physical reservoir computing -- An introductory perspectivecited by 58
- 2015Memory and information processing in neuromorphic systemscited by 47
- 2018Benchmarking Keyword Spotting Efficiency on Neuromorphic Hardwarecited by 37
- 2018Memcomputing: Leveraging memory and physics to compute efficientlycited by 3
- 2016Neural-like computing with populations of superparamagnetic basis functionscited by 2
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