Roadmap on emerging hardware and technology for machine learning.

Berggren K, Xia Q, Likharev KK, Strukov DB, Jiang H, Mikolajick T, Querlioz D, Salinga M, Erickson JR, Pi S, Xiong F, Lin P, Li C, Chen Y, Xiong S, Hoskins BD, Daniels MW, Madhavan A, Liddle JA, McClelland JJ, Yang Y, Rupp J, Nonnenmann SS, Cheng KT, Gong N, Lastras-Montaño MA, Talin AA, Salleo A, Shastri BJ, de Lima TF, Prucnal P, Tait AN, Shen Y, Meng H, Roques-Carmes C, Cheng Z, Bhaskaran H, Jariwala D, Wang H, Shainline JM, Segall K, Yang JJ, Roy K, Datta S, Raychowdhury A.

Open source

DOI: 10.1088/1361-6528/aba70f
Published: 2021-01-01
Container: Nanotechnology
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1088/1361-6528/aba70f,
  title = {Roadmap on emerging hardware and technology for machine learning.},
  author = {Berggren K and  Xia Q and  Likharev KK and  Strukov DB and  Jiang H and  Mikolajick T and  Querlioz D and  Salinga M and  Erickson JR and  Pi S and  Xiong F and  Lin P and  Li C and  Chen Y and  Xiong S and  Hoskins BD and  Daniels MW and  Madhavan A and  Liddle JA and  McClelland JJ and  Yang Y and  Rupp J and  Nonnenmann SS and  Cheng KT and  Gong N and  Lastras-Montaño MA and  Talin AA and  Salleo A and  Shastri BJ and  de Lima TF and  Prucnal P and  Tait AN and  Shen Y and  Meng H and  Roques-Carmes C and  Cheng Z and  Bhaskaran H and  Jariwala D and  Wang H and  Shainline JM and  Segall K and  Yang JJ and  Roy K and  Datta S and  Raychowdhury A.},
  year = {2021},
  journal = {Nanotechnology},
  doi = {10.1088/1361-6528/aba70f},
  url = {https://doi.org/10.1088/1361-6528/aba70f}
}

RIS

TY  - JOUR
TI  - Roadmap on emerging hardware and technology for machine learning.
AU  - Berggren K
AU  -  Xia Q
AU  -  Likharev KK
AU  -  Strukov DB
AU  -  Jiang H
AU  -  Mikolajick T
AU  -  Querlioz D
AU  -  Salinga M
AU  -  Erickson JR
AU  -  Pi S
AU  -  Xiong F
AU  -  Lin P
AU  -  Li C
AU  -  Chen Y
AU  -  Xiong S
AU  -  Hoskins BD
AU  -  Daniels MW
AU  -  Madhavan A
AU  -  Liddle JA
AU  -  McClelland JJ
AU  -  Yang Y
AU  -  Rupp J
AU  -  Nonnenmann SS
AU  -  Cheng KT
AU  -  Gong N
AU  -  Lastras-Montaño MA
AU  -  Talin AA
AU  -  Salleo A
AU  -  Shastri BJ
AU  -  de Lima TF
AU  -  Prucnal P
AU  -  Tait AN
AU  -  Shen Y
AU  -  Meng H
AU  -  Roques-Carmes C
AU  -  Cheng Z
AU  -  Bhaskaran H
AU  -  Jariwala D
AU  -  Wang H
AU  -  Shainline JM
AU  -  Segall K
AU  -  Yang JJ
AU  -  Roy K
AU  -  Datta S
AU  -  Raychowdhury A.
PY  - 2021
JO  - Nanotechnology
DO  - 10.1088/1361-6528/aba70f
UR  - https://doi.org/10.1088/1361-6528/aba70f
ER  -

APA

K, B., Q, X., KK, L., DB, S., H, J., T, M., D, Q., M, S., JR, E., S, P., F, X., P, L., C, L., Y, C., S, X., BD, H., MW, D., A, M., JA, L., JJ, M., Y, Y., J, R., SS, N., KT, C., N, G., MA, L., AA, T., A, S., BJ, S., TF, D. L., P, P., AN, T., Y, S., H, M., C, R., Z, C., H, B., D, J., H, W., JM, S., K, S., JJ, Y., K, R., S, D., & A., R. (2021). Roadmap on emerging hardware and technology for machine learning.. Nanotechnology. https://doi.org/10.1088/1361-6528/aba70f

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europe-pmc · retrieved 2026-09-27T02:47:03.222Z