Advancing AI Through Music, Neural Networks, and Fuzzy Logic

Welcome to the Rebecca AI Lab at Feng Chia University. We are a research laboratory dedicated to pushing the boundaries of artificial intelligence, with a particular focus on music generation, neural network architectures, fuzzy logic systems, and deep learning applications.

Our Research Focus

We explore cutting-edge AI technologies across multiple domains:

• Music & Audio AI: Generation, classification, and semantic understanding of music through neural networks
• Deep Learning: Advanced neural network architectures including GANs, GRUs, and transformer models
• Fuzzy Logic Systems: Uncertainty handling and decision-making in AI systems
• Image Analysis: Computer vision applications for multimedia understanding
• Recommender Systems: Personalized content recommendation algorithms

Featured Projects

Our lab has contributed to significant research projects including:

• Muzic: Music understanding and generation with AI (492+ stars)
• BGT-G2G: Retaining semantics in image-to-music conversion (accepted at IEEE ISM 2022)

Open Source Philosophy

We believe in open science and making our research accessible to the global AI community. Most of our projects are open-source and available on GitHub under MIT and similar licenses.

Get Involved

• Students: We welcome motivated students interested in AI research
• Collaborators: Seeking research partnerships in music AI and neural networks
• Community: Join our open-source projects and discussions

Join us in shaping the future of artificial intelligence.