Implementing Neural Network Algorithms on Neuromorphic Processors

Bascom Hunter has demonstrated in Phase 1 the superior performance of photonic based neurons within Continuous Neuromorphic Computing architectures in both electronic and hybrid-photonic hardware. In Phase 2 we will extend that work to create designs for a Neuromorphic Toolbox of solutions providing Electronic, Spiking Electronic and Hybrid Photonic hardware for Neural Network topologies. These designs will be focused on the Specific Emitter Identification use case and may use Government Furnished Information to better train the network. The Phase 2 Option will develop these designs into benchtop prototypes. The Phase 2 Option will also include the development of a VPX Neuromorphic Hardware that is HOST compatible. In Phase 3 we will be looking at optimizing solutions for the Navy and creating deployable Neuromorphic Hardware. This will be based on the Neuromorphic Hardware Toolbox that was started in Phase 2 as well as a Neuromorphic Software Toolbox which will aid the rapid migration of machine learning algorithms from Desktop Computing Systems to Edge Computing modules.