|
Download README.md from UTS-AAII/README: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/spaces/UTS-AAII/README/resolve/main/README.md
- Command line
-
hf download hf://spaces/UTS-AAII/README/README.md
-
curl -L -o README.md https://huggingface.co/spaces/UTS-AAII/README/resolve/main/README.md
4.92 kB
| title: README | |
| emoji: 📈 | |
| colorFrom: yellow | |
| colorTo: pink | |
| sdk: static | |
| pinned: false | |
|  | |
| <div align="center"> | |
| <h1>Australian Artificial Intelligence Institute</h1> | |
| <h3>University of Technology Sydney</h3> | |
| Advancing the theoretical foundations, innovative technologies, and real-world applications of artificial intelligence. | |
| 🌐 [**Official Website**](https://www.uts.edu.au/research/centres/australian-artificial-intelligence-institute) · 🔬 [**Our Research**](https://www.uts.edu.au/research/centres/australian-artificial-intelligence-institute/our-research) · 👥 [**Research Team**](https://www.uts.edu.au/research/centres/australian-artificial-intelligence-institute/about/team) | |
| </div> | |
| --- | |
| ## About AAII | |
| The **Australian Artificial Intelligence Institute (AAII)** at the **University of Technology Sydney (UTS)** is Australia’s largest research hub dedicated to artificial intelligence. Led by Distinguished Professor Jie Lu *AO*, AAII is internationally recognised for excellence in AI research, collaboration, education, and technology translation. | |
| Established at UTS in 2017 and elevated to institute status in 2020, AAII brings together **35 academic staff, 10 postdoctoral fellows, and more than 200 PhD students** across eight key research laboratories. Its research spans fundamental AI, technology transfer, and real-world applications with significant scientific, social, and economic impact. | |
| ## Research Areas | |
| Our research covers a broad spectrum of artificial intelligence, including: | |
| * Machine learning, deep learning, and representation learning | |
| * Large language models and foundation models | |
| * Computational intelligence and autonomous learning | |
| * Computer vision and pattern recognition | |
| * Reinforcement learning and transfer learning | |
| * Responsible, explainable, secure, and privacy-preserving AI | |
| * Concept drift and learning from evolving data | |
| * Graph learning, network analytics, and data science | |
| * Brain–computer interfaces and neuromorphic computing | |
| * Biomedical AI, bioinformatics, and predictive genomics | |
| * Decision intelligence and human–machine collaboration | |
| AAII translates foundational research into applications across healthcare, finance, transportation, defence, education, telecommunications, agriculture, and other critical sectors. | |
| ## Open Research on Hugging Face | |
| Our research on Hugging Face is organised into thematic collections, bringing together related papers, datasets, models, and open-source resources. | |
| * 🔄 [**Concept Drift**](https://huggingface.co/collections/UTS-AAII/concept-drift) — Robust and adaptive learning under evolving distributions, spanning multimodal pre-training, non-stationary custom-tuning, heterogeneous multi-stream learning, and reasoning alignment. | |
| * 🔁 [**Transfer Learning**](https://huggingface.co/collections/UTS-AAII/transfer-learning) — Methods for transferring knowledge across domains, tasks, and distributions to improve data efficiency, adaptation, and generalisation in limited-data settings. | |
| * 🎯 [**Recommender Systems**](https://huggingface.co/collections/UTS-AAII/recommender-systems) — Intelligent and adaptive recommendation methods that model user preferences, heterogeneous information, and evolving interactions to support personalised decision-making. | |
| Please refer to the corresponding repository card for licensing conditions, citations, intended uses, and limitations. | |
| ## Research and Collaboration | |
| AAII collaborates with universities, research institutes, governments, and industry partners in Australia and internationally. We welcome opportunities for: | |
| * Academic and industry research collaboration | |
| * Open-source AI development | |
| * Visiting researchers and students | |
| * PhD and postdoctoral research | |
| * Technology translation and real-world deployment | |
| ## Learn More | |
| * 🌐 [AAII Official Website](https://www.uts.edu.au/research/centres/australian-artificial-intelligence-institute) | |
| * 🔬 [Research and Projects](https://www.uts.edu.au/research/centres/australian-artificial-intelligence-institute/our-research) | |
| * 🧪 [AAII Research Labs](https://www.uts.edu.au/research/centres/australian-artificial-intelligence-institute/our-research/our-research-labs) | |
| * 👥 [Our Team](https://www.uts.edu.au/research/centres/australian-artificial-intelligence-institute/about/team) | |
| * 📰 [News and Updates](https://www.uts.edu.au/research/centres/australian-artificial-intelligence-institute/news) | |
| ## Contact | |
| **Australian Artificial Intelligence Institute** | |
| University of Technology Sydney | |
| Building 2, Level 12 | |
| 61 Broadway, Ultimo, NSW 2007, Australia | |
| 📧 [aaiiadmin@uts.edu.au](mailto:aaiiadmin@uts.edu.au) | |
| --- | |
| <div align="center"> | |
| **Australian Artificial Intelligence Institute · University of Technology Sydney** | |
| </div> |