Generative AI Lab
STUST, Tainan, Taiwan
Generative AI Lab
STUST, Tainan, Taiwan
This is the offical website for the Generative AI lab hosted by Michael Lee Ph.D. at STUST, Tainan, Taiwan.
Our current research interests:
- Generative AI
- Large Language Models
- Artificial intelligence
- Deep learning
- Medical image recognition
- Bioinformatics
- Biomedical literature mining
- MR(AR/VR)
- Smart Hearthcare
Research Interests:
Generative AI, Large Language Models, Artificial intelligence、Deep learning、Medical image recognition、Bioinformatics、Biomedical literature mining、MR(AR/VR)
Lab Projects and Topics:
- Generative AI - Applications using ChatGPT、AI Chat Bots
- Large Language Models(LLMs) - LLMs development
- Artificial Intelligence and Applications - AI frameworks(ex. tensorflow, PyTorch)development and applications.
- Deep Learning - model training with transfer learning
- MR (Mixed Reality) - MR Unity Programming (Jorjin AR devices、Microsoft HoloLens)
- IoT - Raspberry pi image recognition and its applications
2024 New Projects:
- Gemini API Developer Competition
- https://www.youtube.com/watch?v=NHAOa-Y7KKc
AR-Assisted CPR Emergency Resuscitation: Skill Training Visual Assistance System
This research primarily focuses on developing interactive clinical skill training materials for nursing through generative AI models. By utilizing mixed reality MR (VR+AR) visualization, specialized nursing students can engage in visualized clinical skill training. This approach helps students enhance their learning effectiveness through mixed reality visualization methods and improves the quality of clinical skill training.
Gemini API Developer Competition
AR-Assisted CPR Emergency Resuscitation: Skill Training Visual Assistance System
Research Highlights:
1. InnovativeEducation Model: Successfully utilized generative AI models to develop
interactive nursing clinical skill training materials, injecting new vitality
into nursing education and pioneering an innovative model that combines
advanced technology with traditional teaching methods.2. Mixed RealityApplication: Integrated virtual reality (VR) and augmented reality (AR)
technologies to create an immersive learning environment, visualizing complex
nursing procedures to significantly enhance students' comprehension and
learning engagement.3. SignificantImprovement in Learning Outcomes: Through highly interactive and visualized
learning methods, notably improved students' learning effectiveness,
accelerated skill acquisition, while simultaneously enhancing the overall
quality and efficiency of clinical skill training.Contact us:
Please feel free to contact us with the following form:
No. 1, Nantai St, YongKang District, Tainan City, 71005+886-6-2533131 ext. 3003,3004