Cargando…
Memcapacitor Crossbar Array with Charge Trap NAND Flash Structure for Neuromorphic Computing
The progress of artificial intelligence and the development of large‐scale neural networks have significantly increased computational costs and energy consumption. To address these challenges, researchers are exploring low‐power neural network implementation approaches and neuromorphic computing sys...
Autores principales: | Hwang, Sungmin, Yu, Junsu, Song, Min Suk, Hwang, Hwiho, Kim, Hyungjin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10646263/ https://www.ncbi.nlm.nih.gov/pubmed/37752771 http://dx.doi.org/10.1002/advs.202303817 |
Ejemplares similares
-
Neuromorphic Computing Using NAND Flash Memory Architecture With Pulse Width Modulation Scheme
por: Lee, Sung-Tae, et al.
Publicado: (2020) -
Temperature Impacts on Endurance and Read Disturbs in Charge-Trap 3D NAND Flash Memories
por: Chen, Fei, et al.
Publicado: (2021) -
NAND flash memory technologies
por: Aritome, Seiichi
Publicado: (2016) -
HFNet: A CNN Architecture Co-designed for Neuromorphic Hardware With a Crossbar Array of Synapses
por: Gopalakrishnan, Roshan, et al.
Publicado: (2020) -
Artificial SiN(z):H Synapse Crossbar Arrays with Gradual Conductive Pathway for High-Accuracy Neuromorphic Computing
por: Chen, Tong, et al.
Publicado: (2023)