Functional Open Science Skills for AI/ML Applications
When
Learn how AI is changing the world of Open Science. This session covers the principles of Open Science and the transformative role of AI in driving research forward, discussing key AI/ML tools such as PyTorch alongside open datasets and community-driven resources. Attendees will explore how AI enhances reproducibility, promotes transparency, and accelerates discovery.
This workshop series provides graduate students in public universities with developing skills and learning tools required in today's AI/ML-focused science.
Ranging from covering the basic moving parts to understanding AI's role in Open Science, this workshop aims to lend an understanding where to obtain compute, covering software environments and reproducibility, the role of workflows, and aiming to create an end-to-end Machine Learning (ML) workflow.
SERIES: Learning the Fundamental Skills and Tools for Open Science and AI
Where: Register for Zoom Link
Instructor: Michele Cosi and Carlos Lizárraga
YouTube: UArizona DataLab and session links
- 01/28 The moving parts of Functional Open Science
- 02/04 AI's Role and Tools in Open Science
- 02/11 Learning to Work in the Cloud: JetStream2 and Reproducibility
- 02/18 Handling Images & Videos pt. 1
- 02/25 Handling Images & Videos pt. 2
- 03/04 Training and Testing Models
- 03/18 End-to-end ML Workflow pt.1
- 03/25 End-to-end ML Workflow pt.2