nEUROMORPHIC COMPUTING
nEUROMORPHIC COMPUTING
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.
Project Sponsors:
UofSC Office of Undergraduate Research
Current Projects:
Assistive Technology
Spiking Vision Transformers
Hybrid SNN-ANN Architectures
Neuromorphic Hardware Deployment & Implementation
Our Neuromorphic Team:
Blake Seekings
Peyton Chandarana
Hasti Zanganeh
Arshia Eslami