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University of Central Florida

Trustworthy and Continually Adaptable Multimodal AI Systems

University of Central Florida via YouTube

Overview

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This lecture by Jaehong Yoon from UNC at Chapel Hill explores the development of trustworthy and continually adaptable multimodal AI systems. Discover the challenges and solutions in creating AI systems that can reliably process multiple types of data inputs while maintaining adaptability over time. Learn about cutting-edge research approaches that address issues of trust, reliability, and continuous learning in multimodal AI architectures during this 1-hour and 20-minute presentation hosted by the University of Central Florida.

Syllabus

"Trustworthy and Continually Adaptable Multimodal AI Systems" by Jaehong Yoon, UNC at Chapel Hill

Taught by

UCF CRCV

Reviews

5.0 rating, based on 1 Class Central review

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  • Profile image for Sicily Jose
    Sicily Jose
    The session was very informative and engaging, offering valuable insights about multimodal AI and its various applications across different fields. I learned how it integrates multiple data types, enhancing overall AI capabilities.

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