24 Interpretations Using Surrogate Models

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Read more about Quanscient MultiphysicsAI: https://quanscient.com/multiphysicsai⁠ 0:00 Introduction 1:03 What is MultiphysicsAI ...

Presentation from the October 2020 RGMA PI Meeting: Multi-year Earth system variability, predictability, and prediction.

This video discusses the first stage of the machine learning process: (1) formulating a problem to

machine learning.

Speaker: Dr Małgorzata J. Zimoń , Research Staff Member at IBM Research UK Recent advances in simulations and big data ...

Presentation for the paper "Efficient Online Testing for DNN-Enabled Systems

14th Copper Mountain Conference on Iterative Methods Benjamin Peherstorfer 3/22/2016.

Read the full blog post here: ...

The webinar focused on how

CWI-SC seminar of 17 June 2021 by Bruno Sudret on

This talk was presented as the 6th seminar in the Applied AI at Science User Facilities Seminar Series on March 6th 2023.

This brief 5 minute video talks about a popular technique for interpretable AI: Learning Global

The presentation of the research work "

Learning resources have been developed by the academic partners of the H2020 project iCAREPLAST as a series of training pills ...

Pressure vessels (PVs) are crucial equipment in the energy industry, where safety, performance, and regulatory compliance are ...

Interpretable machine learning (part 2): ICE, partial dependency plots and

R&D project by: Abdulrahman Al Yahmadi Supervisor/s: A/Prof. James Carson and Dr Duy Hoang BE(Hons) Research ...