Trustworthy and Continually Adaptable Multimodal AI Systems

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.