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End-to-End AI for Science BootcampApply NowApplication 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
Agenda Day 0 (Cluster Dry Run Session) April 18, 2023: 11:00 am - 12:00 pm AEST
Day 1 (Intro) April 19, 2023: 09:00 am - 12:00 pm AEST
Day 2 (Advanced) April 20, 2022: 09:00 am - 12:30 pm AEST
Day 3 (Advanced) April 21, 2022: 09:00 am - 12:30 pm AEST
*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 |
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