Benefits of branches in sparsely connected networks
Artificial neural networks are most commonly implemented in computer software; however, real time processing and energy efficiency demands require faster and lower power alternatives. Neuromorphic engineering promises speed and energy efficiency, yet these devices can have unique constraints making...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2022
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| Online Access: | https://hdl.handle.net/1721.1/143254 |