Machine Learning to Discover Physics and Engineering Principles with Nathan Kutz - TWiML Talk #162
Published:Jul 9, 2018 16:28
•1 min read
•Practical AI
Analysis
This article summarizes a podcast episode featuring Nathan Kutz, a professor at the University of Washington. The core focus is on Kutz's research, which utilizes machine learning to uncover the fundamental equations that govern physical and engineering systems. The article highlights the application of machine learning to analyze time series data and extract underlying principles. The brevity of the article suggests it serves as a promotional piece or a brief overview of the podcast content, directing readers to the full show notes for more detailed information.
Key Takeaways
Reference
“In this episode, I’m joined by Nathan Kutz...to discuss his research into the use of machine learning to help discover the fundamental governing equations for physical and engineering systems from time series measurements.”