Speaker
Catherine Schuman
(University of Tennessee)
Description
Neuromorphic computing is a popular technology for the future of computing where inspiration from biological brain is used to motivate new hardware, software, and algorithm design. In this talk, I will overview the field of neuromorphic computing and give an introduction to spiking neural networks. I will present several examples of real-world applications of FPGA-based neuromorphic systems for scientific applications, as well as discuss opportunities for future custom-chip neuromorphic systems for high energy physics applications.
Primary author
Catherine Schuman
(University of Tennessee)
