This group was established in February 2026. More information about our team can be found on our team page. Building upon NTU's long-term strategic investment in AI for X and strong support from the Singapore government, our team is dedicated to advancing foundational AI technologies and their deep integration into high-impact real-world domains.
This GitHub organization mainly presents our open-source code and research resources in General AI and AI4X Applications.
- Multimodal/Self-supervised foundation models
- Foundation model evaluation
- Unified models (CV2.0)
- Efficient AI and large model feature coding
- Metric and benchmark design
- Battery management systems
- Power battery detection with ultra-dense plates, including 600+ plate scenarios
- High-speed power battery CT reconstruction
- Fine-grained battery attribute generation
- Medical diagnosis with incomplete modalities
- Blood analysis and disease prediction across different populations
- PET-CT-MR fusion
- Medical generalist models
- Open-vocabulary learning in medicine
- Tool agents for research
- Tool agents for photography
- Image outpainting, reflection removal, and variable aperture bokeh
- Multimodal understanding of harmful content in virtual experiences