STARTER-AI Workshop 2025, supported by NSF, NIH, and NVIDIA

January 29 - February 7, 2025

This workshop continues last year's successful STARTER-AI Workshop 2024 and will follow a similar format, taking place on both the Edinburg and Brownsville campuses with a virtual connection. However, this year's workshop will span two weeks occurring on Wednesdays and Fridays from January 29 to February 7. We hope these workshops continue to grow the community of AI practitioners here in South Texas.

Workshop will include:

Locations

Schedule

Day Time Event
Jan. 29 Edinburg - EHAB East 1.122, Brownsville - Pending
1:00 PM NVIDIA DLI Workshop - Part 1 of 6
1:40 PM Break
2:00 PM NVIDIA DLI Workshop - Part 2 of 6
2:40 PM Break
3:00 PM NVIDIA DLI Workshop - Part 3 of 6
3:40 PM Break
4:00 - 5:00 PM NVIDIA DLI Wrap-up and Q&A
Jan. 31 Edinburg - EEDUC 2.502, Brownsville - Pending
8:30 AM Coffee Break
9:00 AM External Speaker Dr. Allen from TACC
10:00 AM Break
10:15 AM AI@UTRGV Poster Session
10:45 AM Research Focus - by invitation
1:00 PM Posters and Break
2:30 - 5:00 PM Research Focus - by invitation
Feb. 5 Edinburg - EHAB East 1.122, Brownsville - Pending
1:00 PM NVIDIA DLI Workshop - Part 4 of 6
1:40 PM Break
2:00 PM NVIDIA DLI Workshop - Part 5 of 6
2:40 PM Break
3:00 PM NVIDIA DLI Workshop - Part 6 of 6
3:40 PM Break
4:00 - 5:00 PM NVIDIA DLI Wrap-up and Q&A
Feb. 7 Edinburg - EEDUC 2.502, Brownsville - Pending
9:00 - 10:30 AM Workshop (Cradle Access and Usage)

 

Section Chairs and Invited Speakers

 

Invited Speakers

Dr. Joe Allen

Texas Advanced Computing Center: HPC and AI for Open Science

Dr. Joe Allen, Ph.D.

Research Associate, Texas Advanced Computing Center (TACC) at UT Austin

University of Texas at Austin, Austin, TX

Abstract:

The Texas Advanced Computing Center’s (TACC) mission is to enable discoveries that advance science and society through the application of advanced computing technologies. TACC is the world leader in academic supercomputing and has a long, successful history designing and operating some of the world's most powerful computing resources. In addition to its national research mission, TACC is a core resource that serves the advanced computing needs of all institutions across the University of Texas System. Resource highlights include: support for analytics and storage of protected data; interactive access to high performance nodes for visualization or analysis; the latest powerful GPU processors for machine learning; long term data archives; cloud computing and web-accessible services; APIs to support automation and reproducible computing; science gateways for supporting browser-based collaboration, dissemination, and communities; and trainings in best practices for research computing. This talk will highlight recent technological advances at TACC, including the deployment of new GPU-powered resources and ongoing efforts to equip researchers with the right tools for AI.