In this episode, I’m joined by Nathan Kutz, Professor of applied mathematics, electrical engineering and physics at the University of Washington.
Subscribe: iTunes / Google Play / Spotify / RSS
Nathan and I met a few months ago at the Prepare.AI conference in St. Louis where he gave a talk on “Machine Learning to Discover Physics and Engineering Principles.” Our conversation is laser-focused on his research into the use of machine learning to help discover the fundamental governing equations for physical and engineering systems from time series measurements. We explore the application of his work to self-tuning fiber-optic lasers as well as to biological systems and other complex multi-scale systems.
On July 17th at 5pm PT, Nic Teague will lead a discussion on the paper Quantum Machine Learning by Jacob Biamonte et al, which explores how to devise and implement concrete quantum software for accomplishing machine learning tasks. If you haven’t joined our meetup yet, visit twimlai.com/meetup to do so.
Be sure to sign up for our weekly newsletter. We recently shared a write up detailing the ML/AI Job Board we’re working on, and got a ton of encouragement and interest. To make sure you don’t miss anything, head over to twimlai.com/newsletter to sign up.
Vote for us!!
We’ve got some great news to share and also favor to ask! We’re in the running for this year’s People’s Choice podcast awards, in both the People’s Choice and Technology categories and we’d really appreciate your support! Head over to our nomination page to find out how to vote for us!!! Thanks in advance!
Mentioned in the Interview
- Kutz Research Group
- Tibsheroni Lasso Method
- Elastic Net Regularization
- C Elegans Worm
- TWiML Presents: Series page
- TWiML Events Page
- TWiML Meetup
- TWiML Newsletter
“More On That Later” by Lee Rosevere licensed under CC By 4.0