About the Winter School

🎯 No Prerequisites

The course assumes no background in AI, XR, or programming. Perfect for beginners and experts alike looking to explore new frontiers.

🔬 Hands-on Learning

Each day mixes 2-3 hours of lectures with 4-6 hours of practical group work and project development.

⏰ Intensive Schedule

Full-time short course running for eight hours a day with immersive activities and collaborative learning.

🏛️ Premium Location

D Building Project Space at the prestigious Mawson Lakes campus, University of South Australia in Adelaide.

📍 Location Details

D Building Project Space
Mawson Lakes Campus, University of South Australia
Adelaide, South Australia

Confirmed Speakers

Learn from world-renowned researchers and practitioners from academia and industry

Mark Billinghurst
University of South Australia
Wolfgang Mayer
University of South Australia
Lia Song
University of Adelaide
Feras Dayoub
University of Adelaide
Yun Suen Pai
University of Auckland
Tamil Gunasekaran
University of Auckland
Allison Jing
RMIT
Suranga
NUS
Mar
Google
Liwei Chan
NYCU
Mishra Sra
UCSB
Shunichi Kasahara
Sony CSL
Tim Gentle
Industry Expert

Topics Covered

Comprehensive curriculum spanning the intersection of AI and XR

Fundamentals of XR
AI & Machine Learning Essentials
Integrating AI into AR/VR
AI for XR Prototyping
Emotion & Stress Recognition
AI-Enhanced User Input
Behavior Recognition Systems
AI-Driven Characters
AI-Enhanced Collaboration
Large Language Models (LLMs)
Computer Vision Applications
Ethics in AI
Future Research Directions
Advanced Study Tools

Learning Resources

Access comprehensive materials, presentations, and hands-on tutorials

Browse the folders above to access PDFs, presentations, and example notebooks.

Repository Structure

.
├── README.md          – overview and course information
└── day-1/
    ├── Presentation Slides/ – slides and example notebooks
    └── Resources/           – guides and reference material

Getting Started

1. Clone Repository

Clone this repository to obtain all slides and comprehensive resources for the winter school.

2. Navigate Materials

Explore relevant folders (e.g., day-1/Presentation Slides or day-1/Resources) and open the documents.

3. Follow Tutorials

Use the step-by-step tutorials during the winter school or for independent self-study.

Gallery

Workshop participants engaged in hands-on learning AI and XR demonstration session Collaborative project work Interactive technology showcase Student presentations and discussions Advanced XR equipment demonstration Group learning and networking

Watch the Talks

Catch recordings and related videos from our comprehensive lecture series

🎥 Visit Our YouTube Channel

Feedback & Contributions

Did you attend the school? Have additional materials or corrections? Feel free to open a pull request or issue. Contributions are welcome!