Introduction to Artificial Intelligence

• Foundations
• Perception & Scene Understanding
• Large Language Models
• Multimodal Reasoning (Fall 2024)
• Logical Reasoning
• Planning for Motion and Navigation (Fall 2024)
• Reinforcement Learning

Bayesian Filtering in Robotics - part of Perception & Scene Understanding

Planning & Navigation in ROS2

The main textbook

The companion textbook

Start

Setup

What this course is all about

Artificial Intelligence (AI) addresses one of the ultimate puzzles humans are trying to solve: How is it possible for a brain, whether biological or electronic, to perceive, understand, predict and manipulate a world far larger and more complicated than itself? And how do people create a machine (or computer) with those properties? To that end, AI researchers try to understand how seeing, learning, remembering and reasoning can, or should, be done. This course introduces students to the many AI concepts and techniques including perception, probabilistic reasoning over time, logical reasoning, planning with and without interactions with the environment, reinforcement learning and natural language understanding.