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Seminars

A3D3 Seminar: Catherine Schuman

US/Pacific
Description
Title: Neuromorphic Computing from the Computer Science Perspective: Algorithms and Applications
 
Abstract: 

Neuromorphic computing is a popular technology for the future of computing.  Much of the focus in neuromorphic computing research and development has focused on new architectures, devices, and materials, rather than in the software, algorithms, and applications of these systems.  In this talk, I will overview the field of neuromorphic from the computer science perspective.  I will give an introduction to spiking neural networks, as well as some of the most common algorithms used in the field.  Finally, I will discuss the potential for using neuromorphic systems in real-world applications from scientific data analysis to autonomous vehicles.

 
 
Catherine Schuman is an assistant professor at the University of Tennessee, Knoxville, specializing in neuromorphic computing and spiking neural networks. With a Ph.D. in computer science from UT and research experience at Oak Ridge National Laboratory, she has published widely and received the Department of Energy Early Career Award. Dr. Schuman is recognized for her innovative work at the intersection of artificial intelligence, hardware, and brain-inspired computing.
 

The A3D3 Seminar is a monthly lecture series that hosts scholars working across applied areas of artificial intelligence, such as hardware algorithm co-development, high energy physics, multi-messenger astrophysics,  and neuroscience. Our presenters come from all four domain fields and include occasional external speakers beyond the A3D3 science areas, governmental agencies and industry. The seminar will be recorded and published in YouTube. To receive future event updates, subscribe here.

Organised by

Matthew Graham Kate Scholberg