FIT3192 Emerging and advanced topics in artificial intelligence

This advanced undergraduate unit delves into the forefront of Artificial Intelligence, offering you an in-depth exploration of emerging and cutting-edge topics within the field. The course is designed to keep pace with the rapid advancements in AI, providing a comprehensive understanding of both foundational and innovative concepts.

Key topics covered in this course include 1) Multi-Agent Systems - Study the dynamics of systems where multiple autonomous agents interact, cooperate, or compete to achieve individual or collective goals; 2) Quantum Machine Learning - Investigate the intersection of quantum computing and machine learning and its potential applications in optimisation, cryptography, and complex data analysis; 3) Cognitive Systems - Examine AI systems that simulate human cognitive processes, including perception, reasoning, learning, and decision-making; and 4) Integrated Planning and Learning: Explore methods that combine planning and learning to enable AI systems to adapt and optimise their strategies in real-time with applications such as robotics, autonomous systems, and complex decision-making scenarios.

You will have a robust understanding of these advanced AI topics and be equipped with the knowledge to contribute to the development and application of innovative AI solutions in various domains.