- Hardware and Software：
To provide the computing resources required for teaching and research while supporting the development of interdisciplinary AI applications, ICI Lab is equipped with high-performance computing infrastructure.
Main Server: SKY-602E3 GPU Server
- Tower GPU Server powered by the AMD® EPYC™ Embedded 8004 Series Processor
- Processor: Single AMD® EPYC™8004 Series Server Processor
- Memory: 6 x DDR5-4800 MHz ECC RDIMM, up to 576GB
- Remote Management: IPMI function support
- Expansion: Supports 4 x PCIe x16 double-deck FH/10.5" cards or 2
- PCIe x16 double deck FH/10.5" cards + 4 x PCIe x8 single deck FH/10.5" cards
- PSU: 800 Watt 1+1 redundant power supply with 80+ platinum level certification
GPU Resources：2 × AMD MI300X GPUs (192 GB each)
*With its robust hardware architecture, ICI Lab supports Generative AI, Large Language Models (LLMs), data analytics, and interdisciplinary AI application development.
- Members：
ICI Lab brings together faculty members and students, emphasizing the integration of teaching and hands-on practice while fostering interdisciplinary collaboration.
Principal Investigators：
- Associate Professor Owen Lu, International College of Innovation
- Assistant Professor Chung-pei Pien, International College of Innovation
Collaborating Members：
- Faculty members of the International College of Innovation
- Student participants involved in related research and development projects
- Mission, Development Direction, and Vision：
Centered on AI education and practical applications, ICI Lab is dedicated to creating an interdisciplinary environment for innovation and learning. Its primary objectives are to:
- Provide students with practical environments and resources for hands-on AI learning
- Promote the integration of AI with the social sciences and humanities
- Strengthen students' ability to transform AI knowledge into real-world applications
- Establish a teaching and research platform that bridges theory and practice
- Eligible Users：
ICI Lab resources are primarily available to:
- Students enrolled in the Data Analytics (DA) Track of the International College of Innovation
- Students participating in related courses with approval from the course instructor or project supervisor
- Ongoing Projects：
ICI Lab is currently developing a variety of AI-driven projects spanning education, research, and industry-academia collaboration.
- ICI AI Assistant
An AI assistant designed to provide information about the International College of Innovation by integrating content from the official website. It offers real-time responses to visitor inquiries and enhances information accessibility and student recruitment.
•Team: ICI Office
•Data Source: ICI Official Website
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AI Interviewee
Developed for Research Methods courses, this project uses AI-generated interviewees to help students improve interview design and strengthen their research frameworks.
•Team: Yoyo Chen, Kevin Hsu, Hung-Ying Chen
•Data Source: Simulated interviewee datasets
- AI in Economics
A collaborative project with the Chung-Hua Institution for Economic Research (CIER) to develop a Retrieval-Augmented Generation (RAG) system integrating research materials dating back to the 1980s, significantly improving literature retrieval efficiency.
•Team: Jessie Kuo, Allan Chang, Yoyo Chen, Kevin Hsu, Owen Lu
•Data Source: Historical research archives from CIER
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Master S1000D, Master The Mission
This project leverages Large Language Models (LLMs) to assist in drafting technical manuals compliant with the S1000D military specification, in collaboration with the Ship and Ocean Industries R&D Center (SOIC) and National Kaohsiung University of Science and Technology.
•Team: Melisa Chen, Cindy Hung, Owen Lu
•Data Source: S1000D Specification Issue 6
- AI in the Mystery of Richard III
Combining AI with historical research, this project explores the historical representation of King Richard III and reflects on the potential of AI technologies in archaeology and the humanities.
•Team: Tiffany Hsu, Owen Lu
- AI in Elementary School
An AI-powered educational knowledge platform that integrates language learning resources and dictionary databases as a demonstration of AI applications in primary education.
•Team: Owen Lu
•Data Source: Chinese Idiom Dictionary, Mandarin Chinese Dictionary, and related language databases
