The road to commercial success for neuromorphic technologies
The University of Western Australia · Synapse Biomedical (United States) · +1 more institution
Abstract
Neuromorphic technologies adapt biological neural principles to synthesise high-efficiency computational devices, characterised by continuous real-time operation and sparse event-based communication. After several false starts, a confluence of advances now promises widespread commercial adoption. Gradient-based training of deep spiking neural networks is now an off-the-shelf technique for building general-purpose Neuromorphic applications, with open-source tools underwritten by theoretical results. Analog and mixed-signal Neuromorphic circuit designs are being replaced by digital equivalents in newer devices, simplifying application deployment while maintaining computational benefits. Designs for in-memory…
Citation impact
- FWCI
- 26.95
- Percentile
- 100%
- References
- 98
Authors
2Topics & keywords
- Neuromorphic engineering
- Computer science
- Data science
- Computer architecture
- Artificial intelligence
- Artificial neural network