The problem addressed in this work lies in enabling scientists to apply artificial intelligence (AI) based models to deriving measurements from terabyte-sized images. This problem is important as image-based measurements can become more accurate by introducing supervised AI-based models instead of using the traditional machine learning (ML) based models.
The challenges of introducing supervised AI-based models to domain scientists and assisting them with AI-based modeling are in:
- the complexity of mastering constructions of AI-based models, training and evaluation of AI-based models, inference using the built models, and leveraging hardware acceleration,
- the variety of many image pre- and post-processing steps in order to train AI-based model and use them for inferencing, and
- the time period it takes to deliver cutting-edge, research-prototype, AI-based models to the hands of measurement scientists.