Neuromorphic computing for robotic vision: algorithms to hardware advances
Abstract Neuromorphic computing offers transformative potential for AI in resource-constrained environments by mimicking biological neural efficiency. This perspective article analyzes recent advances and future directions, advocating a system design approach that integrates specialized sensing (e.g...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-08-01
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| Series: | Communications Engineering |
| Online Access: | https://doi.org/10.1038/s44172-025-00492-5 |
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