Welcome to the AI4XR Winter School 2025 repository. This repository contains the presentation slides and tutorial resources used during the winter school.

Over the last few years there has been a rapid convergence of Artificial Intelligence (AI) and eXtended Reality (XR). Many people now see XR as an ideal interface for AI systems, enabling seamless integration with both real and virtual worlds. The winter school is designed to provide researchers and practitioners with foundational knowledge in AI and XR, and to explore how these technologies can be combined.

• No prior knowledge required – the course assumes no background in AI, XR or programming.
• Hands‑on approach – each day contains a mix of lectures and practical group work.
• Full‑time short course – the event runs for eight hours a day, with approximately 2–3 hours of instruction and 4–6 hours of project work.
• Location – the winter school takes place at the Mawson Lakes campus, University of South Australia.

Confirmed speakers include 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

Some of the main areas explored during the winter school include:

• Fundamentals of XR
• Fundamentals of AI and machine learning
• Integrating AI into AR/VR applications
• AI for XR prototyping
• Applications and use cases of AI + XR
• Recognizing emotion and stress with AI
• AI‑supported user input and behavior recognition
• AI‑driven characters and AI‑enhanced collaboration
• Fundamentals of large language models (LLMs)
• AI and computer vision
• Ethics of AI
• Research directions for AI and XR
• Tools and resources for advanced study

The repository currently includes the materials for the first day of the school:

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

These guides provide step‑by‑step instructions for using various tools in conjunction with AI and XR systems.

1. Clone this repository to obtain all slides and resources.
2. Navigate to the relevant folders (e.g., day-1/Presentation Slides or day-1/Resourses) and open the documents.
3. Follow along with the tutorials during the winter school or use them for self‑study.

The winter school will be held at the D Building Project Space, Mawson Lakes campus, University of South Australia, Adelaide.

If you attended the school and have additional materials or corrections, feel free to open a pull request or issue. Contributions are welcome!