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Gaining an Edge in AI with Neuromorphic Computing

EDGE AI FOUNDATION via YouTube

Overview

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Keynote presentation exploring how neuromorphic computing can revolutionize artificial intelligence by enhancing efficiency and enabling real-time processing at the edge. Professor Dhireesha Kudithipudi, Director of the MATRIX AI Consortium at the University of Texas at San Antonio, delivers an insightful talk at the EDGE AI FOUNDATION AUSTIN 2025 event. Discover the latest advancements in neuromorphic AI systems, including spiking and rate-based models that emulate the human brain's architecture, and learn about their practical applications across various industries. This 31-minute keynote provides valuable insights for anyone interested in the future of AI innovation, edge computing, and machine learning technologies.

Syllabus

Keynote: Gaining an Edge in AI with Neuromorphic Computing

Taught by

EDGE AI FOUNDATION

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