| Original language | English |
|---|---|
| Pages (from-to) | doi/10.1073/pnas.1614109113 |
| Journal | Proceedings of the National Academy of Sciences of the United States of America |
| Volume | 113 |
| Issue number | 40 |
| Publication status | Published - 2016 |
Fields of Expertise
- Information, Communication & Computing
Cite this
Maass, W. (2016). Energy-efficient neural network chips approach human recognition capabilities. Proceedings of the National Academy of Sciences of the United States of America, 113(40), doi/10.1073/pnas.1614109113.
Energy-efficient neural network chips approach human recognition capabilities. / Maass, Wolfgang.
In: Proceedings of the National Academy of Sciences of the United States of America, Vol. 113, No. 40, 2016, p. doi/10.1073/pnas.1614109113.Research output: Contribution to journal › Article › Research › peer-review
Maass, W 2016, 'Energy-efficient neural network chips approach human recognition capabilities' Proceedings of the National Academy of Sciences of the United States of America, vol. 113, no. 40, pp. doi/10.1073/pnas.1614109113.
Maass W. Energy-efficient neural network chips approach human recognition capabilities. Proceedings of the National Academy of Sciences of the United States of America. 2016;113(40):doi/10.1073/pnas.1614109113.
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