Ml models - PowerPoint PPT Presentation

AI and ML

Introduction to Artificial Intelligence and Machine learning.

355 views • 26 slides

Numerical aspects of learning (improving robustness and stability)

Numerical aspects of learning (improving robustness and stability). Co-leads: Sandeep Madireddy (Argonne) Clayton Webster (ORNL) Stefan Wild (Argonne) Writer: Rachel Harken (ORNL). List of breakout participants. 4 Crosscut Opportunities. Robust ML and AI approaches to increase trust

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277 views • 26 slides

Scaling Distributed Machine Learning using HPC

Scaling Distributed Machine Learning using HPC. Abid M. Malik Meifeng Lin (PI) Collaborators: Amir Farbin (UT) , Jean Roch ( CERN) Computer Science and Mathematic Department Brookhaven National Laboratory (BNL). Distributed ML for HEP.

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187 views • 9 slides

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