Adapting Like Humans: Embodied AI Beyond Datasets and Domains

Explore the cutting-edge developments in embodied AI systems through this 25-minute conference talk by Pier Luigi Dovesi, Senior AI Engineer at Silo AI. Delve into the evolution from traditional AI training methods to dynamic, adaptable systems that mirror human learning capabilities. Discover how real-time adaptation methodologies serve as crucial stepping stones towards embodied AI, enhancing robustness and applicability in real-world scenarios. Learn about the importance of AI embodiment in perceiving, interacting, and evolving with the environment. Gain insights into the practical applications of this research, including its use by Rain AI in neuromorphic computing. Follow the journey through superhuman perception, unsupervised AI, online domain adaptation, and real-time adaptation, concluding with future prospects and a Q&A session.

Introduction
Superhuman Perception
Unsupervised AI
Online Domain Adaptation
Hard Domain Adaptation
Realtime Adaptation
Example
Whats next
Questions