Physics-Guided Machine Learning: Putting AI to work in industry
Data science, artificial intelligence (AI), and machine learning can contribute significantly to the optimization of production operations. This is driving the future of hybrid machine learning, a blend of physics and AI analytics that which combines data science with traditional physics-based simulators to deliver added value. This paper explains how to use physical principles in feature engineering to improve machine learning outcomes.
Download the white paper to discover:
- Why using AI in heavy-asset industries is fundamentally different than in other industries.
- How to add physics to machine learning models for better, more reliable results.
- How physics-guided machine learning is helping companies gain a competitive edge.
Related white-papers
See Cognite Data Fusion® in action
Get in touch with our product experts to learn more and identify quick wins
