Brown University Researchers Develop Neuromorphic System to Track Objects Through Dense Fog

TechXplore Engineering reports that a Brown University School of Engineering team has engineered an imaging architecture capable of identifying moving targets through opaque obstacles like mud or heavy mist. By pairing a dynamic vision sensor with a spiking neural network, the sy

TechXplore Engineering reports that a Brown University School of Engineering team has engineered an imaging architecture capable of identifying moving targets through opaque obstacles like mud or heavy mist. By pairing a dynamic vision sensor with a spiking neural network, the sy