Neuromorphic Computing from the Computer Science Perspective - Algorithms and Applications

In this 53-minute seminar talk, Dr. Catherine Schuman from the University of Tennessee's Department of Electrical Engineering and Computer Science explores neuromorphic computing from a computer science perspective. Gain insights into spiking neural networks and common algorithms in the field, moving beyond the typical focus on architectures, devices, and materials to examine the software side of neuromorphic systems. Discover the potential applications of neuromorphic computing in real-world scenarios, including scientific data analysis and autonomous vehicles. This NHR PerfLab Seminar presentation includes downloadable slides and is part of a broader seminar series hosted by NHR@FAU.