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End-to-End AI for Science Bootcamp

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Application Deadline: April 0410, 2023

Bootcamp Dates: 19th - 21st April 2023

Summary

During this online bootcamp, participants will learn how to apply AI tools, techniques, and algorithms to real-life problems. You will study the core concepts of Physics Informed Neural Networks, how to build them, as well as how to measure and improve the accuracy of your models. Attendees will study through hands-on experience of building and improving deep learning models using a framework that uses the fundamental laws of physics to model the behavior of complex systems, and enables attendees to visualize the physically accurate outputs of the trained model in near real-time. This online bootcamp is a hands-on learning experience where you will be guided through step-by-step instructions with teaching assistants on hand to help throughout.

Programing Language

Python

Level

Beginner, Intermediate

Compute Resources

Attendees will be given access to a GPU cluster for the duration of the bootcamp.

Prerequisites

• Basic experience with Python. No GPU programming or AI knowledge is required.
• Presented by NCI Australia, the bootcamp is open to all current and prospective NCI users.
• This event has limited capacity, so please ensure that prerequisites are met before applying. 

Agenda

Day 0 (Cluster Dry Run Session) April 18, 2023: 11:00 am - 12:00 pm AEST

• 11:00 AM - 12:00 PM: Cluster Dry Run Session

Day 1 (Intro) April 19, 2023: 09:00 am - 12:00 pm AEST

• 09:00 AM - 09:15 AM: Welcome (Moderator)
• 09:15 AM - 09:30 AM: Connecting to a cluster
• 09:30 AM - 10:00 AM: Introduction to NVIDIA Modulus (Lecture)
• 10:00 AM - 12:00 AM: Building Physics Infomed Neural Network using NVIDIA Modulus (Lecture and Lab)

Day 2 (Advanced) April 20, 2022: 09:00 am - 12:30 pm AEST

• 09:00 AM - 10:30 AM: Physics-Informed approach to an AI for Science application. (Lecture and Lab) 
• 10:30 AM - 12:15 AM: Data-driven approach to an AI for Science application. (Lecture and Lab)
• 12:15 PM - 12:30 PM: Wrap up and Q&A

Day 3 (Advanced) April 21, 2022: 09:00 am - 12:30 pm AEST

• 09:00 AM - 10:30 AM: Introduction to NVIDIA Omniverse: Basic Tools (Lecture)
• 10:30 AM - 10:45 AM: Break
• 10:45 AM - 12:15 PM: Application Visualization Using Omniverse Extension (Lab) 
• 12:15 PM - 12:30 PM: Wrap up and Q&A

*The agenda is a preliminary draft and subject to change as the event date approaches.

Event Format

The 3-day Bootcamp will be hosted online in the Aust Eastern Standard Time (AEST) zone. All communication will be done through Zoom, Slack and email.

Contact us if you have any questions: training.nci@anu.edu.au