Videos

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Building a Gaussian Process Statistical and Quantitative Learning Framework for Scientific Applications

Presenter
  • Xiaoye Li
September 13, 2025
ICERM
The Convergence of Big Data and Extreme Simulation Thumbnail

The Convergence of Big Data and Extreme Simulation

Presenter
  • David Keyes
September 24, 2018
IPAM
Architectural Nuances and Benchmark Gaps in Scientific ML: Two Vignettes Thumbnail

Architectural Nuances and Benchmark Gaps in Scientific ML: Two Vignettes

Presenter
  • Andrej Risteski
June 11, 2025
IMSI
“Big Data” in Image Analysis Thumbnail

“Big Data” in Image Analysis

Presenter
  • Thomas Pengo
February 21, 2017
IMA
Systematically Generating Hierarchies of Machine-Learning Models, from Equation Discovery to Deep Neural Networks Thumbnail

Systematically Generating Hierarchies of Machine-Learning Models, from Equation Discovery to Deep Neural Networks

Presenter
  • Tom Beucler
November 4, 2022
IMSI
Quantum barren plateaus and a possible way out Thumbnail

Quantum barren plateaus and a possible way out

Presenter
  • Maria Kieferova
May 27, 2021
IMSI
Numerical Approximation Algorithms for Big Data Thumbnail

Numerical Approximation Algorithms for Big Data

Presenter
  • Dongbin Xiu
May 24, 2017
IPAM

Hardware and FPGAs computing just right

Presenter
  • Florent de Dinechin
May 8, 2020
ICERM
The Foundation for mathematical and scientific computing Thumbnail

The Foundation for mathematical and scientific computing

Presenter
  • Jarrod Millman
June 25, 2010
SLMath

Automatic Mixed Precision Analysis and Transformation Tool

Presenter
  • Harshitha Menon
May 8, 2020
ICERM

Variable precision computing- Applications and challenges

Presenter
  • David Bailey
May 7, 2020
ICERM

The Grass is Really Green on the Other Side - Empirical vs. Rigorous in Floating-Point Precision Analysis, Reproducibility, Resilience

Presenter
  • Ganesh Gopalakrishnan
May 8, 2020
ICERM