Industrial AI Laboratory
AI4Eng Academic Club
AI4Eng Academic Club 1.0
공학인공지능 연구회
IAI Lab introduces the AI4Eng Academic Club, an initiative group to bridge the gap between artificial intelligence (AI) and the field of mechanical engineering. The AI4Eng Academic Club is established with the vision of empowering undergraduates in the field of engineering to explore the vast potential of AI and further to possibly gain research opportunities in the IAI Lab at Chung-Ang University. Members will have the opportunity to enrich their understanding about AI fundamentals and engage in hands-on AI experiences.
IAI Lab introduces the AI4Eng Academic Club, an initiative group to bridge the gap between artificial intelligence (AI) and the field of mechanical engineering. The AI4Eng Academic Club is established with the vision of empowering undergraduates in the field of engineering to explore the vast potential of AI and further to possibly gain research opportunities in the IAI Lab at Chung-Ang University. Members will have the opportunity to enrich their understanding about AI fundamentals and engage in hands-on AI experiences.
Detailed Topics
Session | Topics |
---|---|
Session 1 | AI Fundamentals & Artificial Neural Nets (ANNs) |
Session 2 | Artificial Neural Nets (ANNs) - Advanced |
Session 3 | Imaging Processing & Convolution Neural Nets (CNNs) |
Session 4 | Convolutional Neural Nets (CNNs) - Advanced |
Session 5 | Autoencoders |
Session 6 | Explainable AI (xAI) Methods |
Session 7 | Generative Adversarial Nets (GANs) |
Session 8 | Sequence Modeling & Recurrent Neural Nets (RNNs) |
Session 9 | Deep Learning for Anomaly Detection |
Session 10 | Future Directions & Engineering Perspectives |
Detailed Topics
Session | Topics |
---|---|
Session 1 | AI Fundamentals & Artificial Neural Nets |
Session 2 | Artificial Neural Nets - Advanced |
Session 3 | Imaging Processing & Convolutional Neural Nets |
Session 4 | Convolutional Neural Nets - Advanced |
Session 5 | Autoencoders |
Session 6 | Explainable AI (xAI) Methods |
Session 7 | Generative Adversarial Nets |
Session 8 | Sequence Modeling & Recurrent Neural Nets |
Session 9 | Deep Learning for Anomaly Detection |
Session 10 | Future Directions & Engineering Perspectives |
Members