Recent advances in neuromorphic transistors for artificial perception applications: FOCUS ISSUE REVIEW

Conventional von Neumann architecture is insufficient in establishing artificial intelligence (AI) in terms of energy efficiency, computing in memory and dynamic learning. Delightedly, rapid developments in neuromorphic computing provide a new paradigm to solve this dilemma. Furthermore, neuromorphi...

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Detalles Bibliográficos
Autores principales: Wang, Wei Sheng, Zhu, Li Qiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2022
Materias:
Focus on Materials and Technologies for Memristors and Neuromorphic Devices
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9809405/
https://www.ncbi.nlm.nih.gov/pubmed/36605031
http://dx.doi.org/10.1080/14686996.2022.2152290

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9809405/
https://www.ncbi.nlm.nih.gov/pubmed/36605031
http://dx.doi.org/10.1080/14686996.2022.2152290

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