ALCF Intro to AI-driven Science on Supercomputers: A Student Training Series, Sept-Nov 2022
ALCF is hosting an undergraduate training series in Sept to Nov 2022 introducing the fundamentals of artificial intelligence (AI) and teaching students how leading-edge supercomputers can be used to develop and apply AI solutions to the world’s most challenging science problems. This training is open to NERSC users.
The ability for artificial intelligence (AI) to successfully learn from large datasets has transformed science and engineering as we know it. AI can accelerate scientific discovery and innovation but often requires more computing power than is available to most researchers. The DOE provides supercomputers to solve the nation’s biggest scientific challenges, and this series aims to introduce a new generation of AI practitioners to these powerful resources.
This training series is aimed at undergraduate and graduate students enrolled at U.S. universities. Attendees are expected to have basic experience with Python. No supercomputing or AI knowledge is required.
Workshop Series Format
There are a total of 8 2-hr sessions. Each session occurs on Tuesdays from 3-5 p.m. US CT. Each session will have both lecture and hands-on components, along with a talk from an Argonne scientist about the work they do using AI for their science.
Attendees who complete all in-class and post-class exercises by the end of the series will receive a certificate of completion and a digital badge.
Registration, Agenda, and Materials
The registration deadline is Sept. 16, 2022. The series is free to attend, but registration is required. Attendees will receive the link to the online webinar once they have registered. For more information, topics, and presentations of each session, and to register please visit the ALCF event page and each individual event pages below.
- 09/20/2022, Introduction To AI Training on ThetaGPU Supercomputer and Machine Learning
- 09/27/2022, Neural Networks in Python
- 10/04/2022, Neural Networks in Tensorflow
- 10/11/2022, Modern Classification Networks
- 10/18/2022, Handling Data During AI Training
- 10/25/2022, Supercomputers and Parallel AI Training
- 11/01/2022, Running Large Scale Training on a Supercomputer
- 11/08/2022, Advanced AI Architectures and Methods