State-of-the-art deep learning has a carbon emission problem. Can neuromorphic engineering help?
Deep learning has attracted a lot of attention from both academic, as well as, industrial parties mainly due to its success when working large datasets and its ability to improve performance by scaling up the size of the models. However, the current trends of training state-of-the-art deep learning...
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| Format: | Article |
| Language: | English |
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InterOPTICS
2020-05-01
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| Series: | Dialogues in Clinical Neuroscience & Mental Health |
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| Online Access: | https://www.obrela-journal.gr/index.php/obrela/article/view/166 |