Podcast cover
Institute for Pure & Applied Mathematics (IPAM) · Science

Institute for Pure & Applied Mathematics (IPAM)

The Institute for Pure and Applied Mathematics (IPAM) is a National Science Foundation Math Institute at the University of California, Los Angeles (UCLA) that fosters the interaction of mathematics with a broad range of science and technology, builds new interdisciplinary research communities, promotes mathematical innovation, and engages and transforms the world through mathematics. IPAM fulfills its mission through workshops and programs that connect mathematics and other disciplines or multiple areas of mathematics. These activities bring in thousands of visitors annually from academia, government, and industry. The NSF has encouraged IPAM to make the scientific presentations of our speakers available to a wider audience. While this YouTube channel contains many of our most popular videos, our full video archive is available at www.ipam.ucla.edu/videos.

Episodes

Episode cover

Kyle Cranmer: "The interplay between physically motivated simulations and machine learning"

08 Oct 2019
1h 15m
Episode cover

Andrew Ferguson: "Machine learning-enabled enhanced sampling in biomolecular simulation and..."

08 Oct 2019
1h 12m
Episode cover

Lars Ruthotto: "Deep Neural Networks Motivated By Differential Equations (Part 1/2)"

08 Oct 2019
1h 13m
Episode cover

Gianni De Fabritiis: "Machine Learning for Drug Design"

08 Oct 2019
1h 7m
Episode cover

Marina Meilă: "Manifold Learning"

08 Oct 2019
1h 12m
Episode cover

Steve Brunton: "Dynamical Systems (Part 2/2)"

08 Oct 2019
1h 16m
Episode cover

Anatole von Lilienfeld: "Introduction to Electronic Structure Calculations"

08 Oct 2019
1h 35m
Episode cover

Tristan Bereau: "Constructing Conservation Laws with Machine Learning for Energy Landscapes"

08 Oct 2019
1h 12m
Episode cover

Steve Brunton: "Dynamical Systems (Part 1/2)"

08 Oct 2019
1h 17m
Episode cover

Frank Noé: "Intro to Machine Learning (Part 2/2)"

08 Oct 2019
1h 26m
Episode cover

Frank Noé: "Intro to Machine Learning (Part 1/2)"

08 Oct 2019
1h 24m
Episode cover

Kristin Lauter: "Private AI"

12 Feb 2019
49m
Episode cover

Barry Barish: "Gravitational Waves and a Future New Science"

05 Feb 2019
1h 18m
Episode cover

Barry Barish: "From Einstein to Gravitational Waves"

05 Feb 2019
1h 22m
Episode cover

Lucy Jones: "Science Activation: How Do We Get Our Science Used by Those in Power?"

25 Jan 2019
1h 16m
Episode cover

Emmanuel Candès: “The Knockoffs Framework: New Statistical Tools for Replicable Selections”

05 Oct 2018
1h 11m
Episode cover

Emmanuel Candès: "Sailing Through Data: Discoveries and Mirages"

02 Oct 2018
1h 12m
Episode cover

Iman Ansari: "HYPER.STRUCTURE: Envisioning Hyperloop as an Urban Infrastructure"

31 Aug 2018
16m
Episode cover

Denis Tudor: "High-power, High-speed Hyperloop Pod"

31 Aug 2018
13m
Episode cover

Ralph Blumberg: "Design of Permanent Magnets-Based Passive Levitation Skis"

31 Aug 2018
9m
Page 109

Follow this podcast in Podwise

Sign in to get AI summaries, transcripts and mind maps for any episode, including new ones.

Open in Podwise