The deployment of AI on edge computing devices raises significant challenges in terms of high energy consumption and limited functionality, which could be efficiently mitigated by brain-inspired neuromorphic engineering. Here, the authors introduce voltage-dependent synaptic plasticity for efficient, unsupervised learning in memristive synapses, demonstrating state-of-the-art performance and robustness on pattern recognition tasks
- Nikhil Garg
- Ismael Balafrej
- Fabien Alibart
