Spintronic materials and devices towards an artificial neural network: accomplishments and the last mile

Autor: Rudis Ismael Salinas, Po-Chuan Chen, Chao-Yao Yang, Chih-Huang Lai
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Materials Research Letters, Vol 11, Iss 5, Pp 305-326 (2023)
Druh dokumentu: article
ISSN: 21663831
2166-3831
DOI: 10.1080/21663831.2022.2147803
Popis: ABSTRACTNeuromorphic computing based on brain-inspired frameworks has shown its potential to perform computation with remarkable power and speed efficiency. The spintronic device has been considered a promising candidate for neuromorphic computing because of its intrinsic non-volatility, ultrafast switching dynamics and scalability. This article will review the current status of neuromorphic computing techniques employing spintronic materials and devices. We will begin with a concise introduction to the biological structure of neurons and then go through several important models of artificial neural networks. The revolutionary breakthroughs of spintronic-based neuromorphic computation will be demonstrated together with their challenges and outlook.
Databáze: Directory of Open Access Journals