Nathan Kutz's guest appearances

Nathan Kutz

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Stardust Podcast

Meredith Broussard

Ilias Diakonikolas

Scott Clark

Celeste Kidd

Dennis Mortensen

Rob Walker

Sanmi Koyejo

Chelsea Finn

Dario Amodei

Jianxiong Xiao

Kate Darling

Jason Holmberg

Lotte Bransen

Christopher Berner

David Spiegelhalter

OwlTail

J. Nathan Kutz is the Robert Bolles and Yasuko Endo Professor within the Department of Applied Mathematics at the University of Washington in Seattle. He is also the director of the UW-led AI Institute for Dynamic Systems, founded by the National Science Foundation. His research interests are numerical methods and scientific computing, data analysis and dimensionality reduction methods, dynamical systems, bifurcation theory, linear and nonlinear wave propagation, perturbation and asymptotic methods, nonlinear analysis, variational methods, soliton theory, nonlinear optics, mode-locked lasers, fluid dynamics, Bose-Einstein condensation, neuroscience, gesture recognition, and video &amp; image processing. LINKS: http://faculty.washington.edu/kutz/ https://www.youtube.com/channel/UCoUOaSVYkTV6W4uLvxvgiFA J. Nathan Kutz Google Scholar PODCAST INFO: Anchor: https://anchor.fm/stardust-podcast Youtube full episodes: https://www.youtube.com/watch RSS: https://anchor.fm/s/84561ce0/podcast/rss Linktree: https://linktr.ee/stardustpodcast SUPPORT &amp; CONNECT: Matteo Links: Youtube Channel Twitter LinkedIn Patreon  Account Manager IT Manager

J. Nathan Kutz is the Robert Bolles and Yasuko Endo Professor within the Department of Applied Mathematics at the University of Washington in Seattle. He is also the director of the UW-led AI Institute for Dynamic Systems, founded by the National Science Foundation. His research interests are numerical methods and scientific computing, data analysis and dimensionality reduction methods, dynamical systems, bifurcation theory, linear and nonlinear wave propagation, perturbation and asymptotic methods, nonlinear analysis, variational methods, soliton theory, nonlinear optics, mode-locked lasers, fluid dynamics, Bose-Einstein condensation, neuroscience, gesture recognition, and video &amp; image processing. LINKS: <a href="http://faculty.washington.edu/kutz/" rel="nofollow" target="_blank">http://faculty.washington.edu/kutz/</a> <a href="https://www.youtube.com/channel/UCoUOaSVYkTV6W4uLvxvgiFA" rel="nofollow" target="_blank">https://www.youtube.com/channel/UCoUOaSVYkTV6W4uLvxvgiFA</a> <a href="https://scholar.google.com/citations?user=kfT42KEAAAAJ" rel="nofollow" target="_blank">J. Nathan Kutz Google Scholar</a> PODCAST INFO: Anchor: <a href="https://anchor.fm/stardust-podcast" rel="nofollow" target="_blank">https://anchor.fm/stardust-podcast</a> Youtube full episodes: <a href="https://www.youtube.com/watch?v=aBsqh9t2uOw&amp;list=PLQIbxjHCZG-BUTCC5tdGUjtx23EQGebAw" rel="nofollow" target="_blank">https://www.youtube.com/watch</a> RSS: <a href="https://anchor.fm/s/84561ce0/podcast/rss" rel="nofollow" target="_blank">https://anchor.fm/s/84561ce0/podcast/rss</a> Linktree: <a href="https://linktr.ee/stardustpodcast" rel="nofollow" target="_blank">https://linktr.ee/stardustpodcast</a> SUPPORT &amp; CONNECT: Matteo Links: <a href="https://www.youtube.com/channel/UCxkveBmMqeXPXLzFdsnA0bA" rel="nofollow" target="_blank">Youtube Channel</a> <a href="https://twitter.com/Matteomanzi09?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor" rel="nofollow" target="_blank">Twitter</a> <a href="https://www.linkedin.com/in/matteomanzi00seinfeldwasright/" rel="nofollow" target="_blank">LinkedIn</a> <a href="https://www.patreon.com/astrorum_pulvis" rel="nofollow" target="_blank">Patreon</a> <a href="https://www.linkedin.com/in/stefano-guidolotti/" rel="nofollow" target="_blank">Account Manager</a> <a href="https://www.linkedin.com/in/mattia-petrini-58a7a8151/" rel="nofollow" target="_blank">IT Manager</a>

The Stardust Podcast #19 - J. Nathan Kutz

In this episode, I’m joined by Nathan Kutz, Professor of applied mathematics, electrical engineering and physics at the University of Washington 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.For complete show notes visit twimlai.com/talk/162

In this episode, I’m joined by Nathan Kutz, Professor of applied mathematics, electrical engineering and physics at the University of Washington 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. For complete show notes visit <a href="http://twimlai.com/talk/162" rel="nofollow" target="_blank">twimlai.com/talk/162</a>

Machine Learning to Discover Physics and Engineering Principles with Nathan Kutz - TWiML Talk #162