Transforming Scientific Discovery with AI/ML and the Power of Globus

Learn how using Globus with AI/ML can help accelerate scientific discovery

Workshop Information

  • Title: Transforming Scientific Discovery with AI/ML and the Power of Globus
  • Instructor: Kyle Chard, University of Chicago
  • Time: Oct. 28, 2024, 12 p.m. ET – 1 p.m. ET
  • Duration: 1 hour
  • Cost: FREE
  • Delivery: Virtual via Zoom
  • Registration: Zoom Registration

Workshop Overview

Scientific instruments now produce enormous volumes of data that exceed local processing capacity. Online analysis combined with AI/ML methods presents one way of dealing with such massive data streams: intelligently collecting only interesting subsets or directing instruments to relevant areas of experimental space.

Globus is a higher education and research organization that offers a secure, scalable infrastructure for data transfer, management, sharing and connecting instruments, and high-performance computing and storage systems.

This webinar will explore how Globus can help researchers and central IT automate data collection, support distributed computing pipelines, and enable efficient data analysis, AI model training, and simulations. We will include real-world examples to demonstrate how Globus enhances data-intensive research and operational efficiency for scientific facilities.

Skill Level and Target Audience

  • Beginner
  • Researchers and data scientists; IT professionals; Developers

Webinar Objectives

This webinar aims to:

  • Describe examples highlighting how the Globus platform provides reliable, secure and scalable infrastructure for configuring and running distributed computing pipelines.
  • Showcase Streamlined Data Workflows: Demonstrate how Globus enables the automation of data workflows, improving the efficiency of data collection, analysis, and distribution in scientific research.
  • Highlight Real-World Applications: Present examples of how Globus is used in practice to support data-intensive research and enhance operational efficiency across scientific facilities.

If you have further questions, please contact us.