The IAI Center is developing non-traditional machine learning (asymmetric machine learning) techniques and methods including transfer learning, domain adaptation, topological graph analytics, stream-of-X, etc for highly connected and complex industrial systems.
The IAI Center has a collection of tools and methods for solving industrial problems. The tools support rapid development and deployment, and enable the systematic evaluation of solutions, enhancing efficiency in tackling diverse industrial challenges.
Fundamental Machine Learning Toolbox
Advanced Machine Learning Tools
In the meantime, please visit the IMS Center website to learn more about our research