Join us for two events in early 2023 to learn about data science tools and approaches for your research, hosted by NVIDIA, Amazon Web Services, Four Points Technologies and DoIT.
NVIDIA: The Art of the Possible
Learn how GPU-based computing is enabling advanced computing approaches in a variety of disciplinary domains. NVIDIA presenters will demonstrate their latest machine learning applications. You’ll learn about NVIDIA and UW–Madison GPU resources that you can use in your own research.
When: Wednesday, January 18, 2:30-3:45pm
Where: Virtual via Zoom only
Prior to the event:
Day of the event:
Amazon Web Services (AWS): Research Day
This workshop will highlight AWS services, for machine learning (SageMaker), serverless (Lambda, Athena) and event-driven computation, and server-based hosting. Presenters from AWS and UW–Madison will provide details about how these and similar tools are being used and how you can get started using them. You will also learn about two UW–Madison initiatives designed to help reduce the cost of cloud computing: the NIH STRIDES program for biomedical researchers and the UW–Madison F&A pilot reduction for cloud computing costs.
When: Thursday, January 19, 9am-4:30pm
Where: In-person at Rm 3139 in the Computer Science building or via Zoom
Prior to the event:
Day of the event:
Agenda
Time | Topic | Presenter(s) |
---|---|---|
9-9:15am | Welcome and Opening Remarks | UW DoIT, AWS, and Four Points Technology |
9:15-10am | How Amazon Web Services (AWS) Supports Research | Rick Friedman, AWS Research |
10-10:30am | NIH STRIDES for Biomedical Research in the AWS Cloud | NIH, Four Points Technology |
10:30-10:40am | Short Break | |
10:40-11:10am | UW Researcher Spotlight: AWS for multiomics data analysis in brain research: A demo by Waisman Center Data Science Core | Shuang Liu, Waisman Center |
11:10am-noon | Introduction to Artificial Intelligence/Machine Learning (AI/ML) on AWS – SageMaker | Jianjun Xu (AWS) |
Noon-1pm | Lunch break (catered for in-person attendees) | |
1-1:30pm | UW Researcher Spotlight: Applying Cloud Technology to Track Public Health Infectious Disease | Kelsey Florek, Wisconsin State Lab of Hygiene |
1:30-2pm | Simplify Research Workflows with Serverless Compute (AWS Lambda) | Chris Kuehn (AWS) |
2-2:30pm | AWS Data Storage Services | Scott Wold (AWS) |
2:30-2:45pm | Short break | |
2:45-4:15pm | Hands-on Lab: Amazon SageMaker Examples for Research | Jianjun Xu (AWS) |
4:15-4:30pm | Closing Remarks | UW DoIT, AWS, and Four Points |