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Foundational AI 3.0: Unveiling the Future of AI Systems

Offered By: SAIConference via YouTube

Tags

Artificial Intelligence Courses Machine Learning Courses Robotics Courses Augmented Reality Courses Virtual Reality Courses Physics Informed Neural Networks Courses

Course Description

Overview

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Explore the dynamic evolution of AI from models to systems in this 28-minute presentation by Dr. Efstratios Gavves, Associate Professor at the University of Amsterdam. Delve into the shift towards understanding and interacting with dynamic, open-world environments, and the crucial role of Foundational Causal Models. Examine the transition from static data to dynamics in AI, including Physics Informed Neural Networks. Discover the impact of foundational AI systems on robotics, VR/AR, and healthcare applications. Understand the significance of dynamics in the new era of AI and its implications for embodied and interactive AI. Gain insights into Dr. Gavves' pioneering work in dynamical video representations and Siamese algorithms. Learn about Causal Representation Learning and its potential to revolutionize autonomous AI systems. Recorded at the Intelligent Systems Conference 2023 in Amsterdam, Netherlands, this talk offers a glimpse into the future of AI and its transformative potential across various domains.

Syllabus

Foundational AI 3.0: Unveiling the Future of AI Systems | Efstratios Gavves, University of Amsterdam


Taught by

SAIConference

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