49:12

Pathwise Entropy Solutions of SPDEs via Rank-Based Models with Mykhaylo Shkolnikov

02:39

Greed Works: An Improved Analysis of Sampling Kaczmarz--Motzkin

02:19

Train Like a (Var)Pro: Efficient Training of Neural Networks with Variable Projection

01:40

Student Spotlight: Meet the Next Generation of SIAM

03:03

Why SIAM?

01:03:16

Advanced Time-Integration Methods for Atmospheric Modeling with Francis X. Giraldo

54:15

Supercomputing Spotlights: The Accomplishments of the Exascale Computing Project

28:02

2024 M3 Challenge Final Event Award Ceremony

23:02

M3 Challenge Presentation: The Blake School (Team #17570)

21:12

M3 Challenge Presentation: Livingston High School (Team #17400)

20:36

M3 Challenge Presentation: F. W. Buchholz High School (Team #17497)

20:54

M3 Challenge Presentation: York Community High School (Team #17932)

24:42

M3 Challenge Presentation: The Pingry School (Team #17773)

25:00

M3 Challenge Presentation: Thomas Jefferson High School for Science and Technology (Team #17432)

24:16

M3 Challenge Presentation: Canyon Crest Academy (Team #17895)

22:10

M3 Challenge Presentation: Phillips Academy Andover (Team #17645)

21:53

M3 Challenge Presentation: Watford Grammar School for Boys (Team #17870)

02:16

M3 Challenge 2024 Final Event Sizzler

03:10

National Volunteer Month with Robert Schreiber

01:26

National Volunteer Month with Bruce Hendrickson

02:30

National Volunteer Month with Ulrike Meier Yang

02:59

Mathematics and Statistics Awareness Month with Suzanne Shontz

02:49

Mathematics and Statistics Awareness Month with Anshu Dubey

02:27

Mathematics and Statistics Awareness Month with Jack Dongarra

00:47

Team 1770 Presents: The Importance of Maths Modelling Challenge

02:44

Team 17801 Discusses the M3 Challenge Experience

00:40

Maths Modelling Challenge with Team 17810

04:42

Team 17755's Journey to Math Competition Victory

58:14

How Lossy Compression Makes Seismology Easier and Faster with Eileen Martin

01:50:48

Optimization for Data Analysis

01:56:09

Broader Engagement (BE): Introduction to Graph Neural Networks

01:54:46

Broader Engagement (BE): Julia for Python Programmers

01:50:17

Broader Engagement (BE): Data Science with Julia

01:51:59

Geometric Deep Learning

02:12:13

Computational Optimal Transport

01:11:26

Tensor Decompositions: A Quick Tour of Illustrative Applications

48:20

Exploring Variational Functions with Luigi Ambrosio

02:44

What Is Data Science?

01:00:48

Mean-Field Competition in Inventory Management with Ryan Donnelly

04:49

Harnessing Supercomputers for Climate Prediction

59:14

Deep Solver: Jumps in BSDEs with Athena Picarelli

55:42

Calibrating Noise in GFD Models with Dan Crisan

01:01:01

Partial Information Breeds Systemic Risk with Yu-Jui Huang

01:05:09

Data-Driven Modeling Meets Waveform Inversion with Jorn Zimmerling

56:50

Wave Localization and the Landscape Law with Svitlana Mayboroda

58:13

Advancing Earth System Predictability with Dan Lu

04:57

How Supercomputers Allow Scientists to Make Climate Predictions Under Uncertainty

01:03:59

Dissipative Systems in Fluid Dynamics with Eduard Feireisl

56:02

Machine Learning in Extreme Weather Forecasting with William Drew Collins

01:10:21

Decoding Plasma Turbulence Dynamics with Irene Gamba

52:53

Robust Risk Measures with Silvana Pesenti

57:02

Machine Learning in Financial Mathematics with Michael Ludkovski

38:07

Unveiling the Future of High-Performance Computing with Ulrike Yang

45:25

Navigating the Era of Environmental Prediction with Antonio Busalacchi

58:54

Solving Stackelberg Mean Field Games and Ergodic Robust Maximization of Asymptotic Growth (SIAM FME)

09:24

Everyday Math with Tim Chartier

07:40

Math Modeling: An Introductory Lesson

01:07:02

Seminar In the Analysis and Methods of PDE (SIAM PDE): Christopher K.R.T. Jones

01:01:49

Numerical Modelling of Earthquake Ground Motion

01:06:00

Seminar In the Analysis and Methods of PDE (SIAM PDE): Andrea Bertozzi