Knowledge-infused Learning for Autonomous Driving (KL4AD)
Offered By: AI Institute at UofSC - #AIISC via YouTube
Course Description
Overview
Explore the cutting-edge field of knowledge-infused learning for autonomous driving in this comprehensive tutorial. Delve into the emerging area of neuro-symbolic AI and discover how external knowledge can be leveraged within machine and deep learning solutions to enhance interpretability, explainability, robustness, and transferability. Examine three core state-of-the-art technical achievements in the autonomous driving domain, presented by a collaborative team from academia and industry. Gain insights into recent innovations using real-world datasets and understand how knowledge-infused learning approaches can address the inherent challenges in achieving full autonomy. Learn about the potential of these methods to revolutionize the field of autonomous driving and tackle complex AI problems.
Syllabus
Knowledge-infused Learning for Autonomous Driving (KL4AD)
Taught by
AI Institute at UofSC - #AIISC
Related Courses
Machine Learning Modeling Pipelines in ProductionDeepLearning.AI via Coursera Live Responsible AI Dashboard: One-Stop Shop for Operationalizing RAI in Practice - Episode 43
Microsoft via YouTube Build Responsible AI Using Error Analysis Toolkit
Microsoft via YouTube Neural Networks Are Decision Trees - With Alexander Mattick
Yannic Kilcher via YouTube Interpretable Explanations of Black Boxes by Meaningful Perturbation - CAP6412 Spring 2021
University of Central Florida via YouTube