Neuromorphic computing focuses on biologically inspired neural networks which employ spikes or action potentials to represent data and features being passed between layers in a neural network. Unlike conventional artificial neural networks, spiking neural networks (SNNs) can benefit many real-time applications where there are power and latency constraints.
Neuromorphic Hardware Deployment & Implementation
Our Neuromorphic Team:
Energy-Efficient Deployment of Machine Learning Workloads on Neuromorphic Hardware (2022)
Static Hand Gesture Recognition for American Sign Language using Neuromorphic Hardware (2022)