Embracing the Efficiency of the Neuromorphic Hairball

Katie Schuman, a Professor at the University of Tennessee, Knoxville, shares her insights on neuromorphic computing and evolutionary approaches in neural processing. She discusses her journey from computer science to this groundbreaking field, emphasizing the integration of spiking neural networks and evolutionary algorithms. The conversation highlights advancements in neuromorphic systems, including their efficiency and the challenges of training them. Schuman also touches on the role of community, open-source frameworks, and the future potentials of robotic applications.