Generative AI in design and manufacturing
Project Description
The project focuses on applying Generative AI in design and manufacturing processes to automate design generation, optimize designs, and foster creativity. It involves developing AI algorithms and training them on relevant datasets to generate innovative and efficient designs that meet specific criteria. The project aims to accelerate the design process, improve manufacturing efficiency, and unlock new possibilities for optimized product designs.
Supervisor
Yanglong LU
Quota
2
Course type
UROP1000
UROP1100
UROP2100
UROP3100
UROP3200
UROP4100
Applicant's Roles
1. Conduct research on Generative AI in the manufacturing domain.
2. Prepare datasets for training AI models.
3. Develop or adapt AI algorithms for generative design.
4. Train and evaluate AI models for generating designs.
5. Experiment and iterate on the AI models for improved performance.
6. Collaborate and communicate effectively within the project team.
Applicant's Learning Objectives
1. Understanding Generative AI algorithms and their application in manufacturing.
2. Developing knowledge of design and manufacturing processes.
3. Gaining expertise in AI algorithm development for generative design.
4. Acquiring skills in data analysis and preprocessing for training AI models.
5. Mastering model training and evaluation techniques.
6. Enhancing collaboration and communication skills.
7. Developing problem-solving and creativity abilities.
8. Improving documentation and presentation skills.
Complexity of the project
Moderate