Can neuromorphic computing help reduce AI's high energy cost?

Ornes S

DOI: 10.1073/pnas.2528654122
Published: 2025 Nov 4
Container: Proceedings of the National Academy of Sciences of the United States of America
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1073/pnas.2528654122,
  title = {Can neuromorphic computing help reduce AI's high energy cost?},
  author = {Ornes S},
  year = {2025},
  journal = {Proceedings of the National Academy of Sciences of the United States of America},
  doi = {10.1073/pnas.2528654122},
  url = {https://doi.org/10.1073/pnas.2528654122}
}

RIS

TY  - JOUR
TI  - Can neuromorphic computing help reduce AI's high energy cost?
AU  - Ornes S
PY  - 2025
JO  - Proceedings of the National Academy of Sciences of the United States of America
DO  - 10.1073/pnas.2528654122
UR  - https://doi.org/10.1073/pnas.2528654122
ER  -

APA

S, O. (2025). Can neuromorphic computing help reduce AI's high energy cost?. Proceedings of the National Academy of Sciences of the United States of America. https://doi.org/10.1073/pnas.2528654122

Source records

pubmed · retrieved 2026-09-25T07:44:24.020Z