Biological Neural Networks as the Forefront of AI Processing

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Edward Lin

Abstract

Graphic processing units (GPUs) are a major component of artificial intelligence (AI) processing power. As AI becomes more sophisticated and more processing power is needed to run these intellectual models, a growing concern of energy demand and extensive AI training becomes an increasing concern. To create more sophisticated machine learning algorithms, scientists in the field of neuromorphic computing studied the brain for its ability to efficiently process and store information. Finding a way to incorporate the brain directly into computing may create novel algorithms to meet the increasing demands of information processing.

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Author Biography

Edward Lin, University of Illinois Urbana-Champaign

Edward is a Sophomore at the University of Illinois majoring in Neural Engineering. Through his studies, he aspires to implement biological mechanisms/systems into computers and explore AIneural network connections. Some of his interests include playing volleyball, filming, and going on road trips. After graduation, he hopes to attend graduate school.