AI/DL Tutorials: Introduction to Deep Learning
The RAD Collaboratory is pleased to invite you to apply for a seat in four related Hands-on Artificial Intelligence/Deep Learning (AI/DL) Tutorials.
Instructors:
- Dr. Zhao Zhang, Assistant Professor, School of Engineering – ECE
- Dr. Stephen K. Burley, University Professor, School of Arts and Sciences – C&CB
Description of Training Program:
Four related in-person hands-on tutorials scheduled throughout Spring Semester 2025 will help prepare Rutgers masters students, PhD students, postdoctoral fellows, and faculty for success in research utilizing Artificial Intelligence (AI) and Deep Learning (DL) tools. We will use the Frontera supercomputer for hands-on exercises that reinforce learnings from short informative lectures.
Tutorial Dates/Topics:
I. February 18th – Introduction to Deep Learning
II. March 18th – Introduction to PyTorch
III. April 15th – Distributed Neural Network Training
IV. April 29th – Large Language Models and their Applications in Science and Engineering
We will be using TACC Frontera RTX 5000 GPUs for all four Tutorials. You must have a Frontera account to run the hands-on exercises. Applicants who do not already have a TACC account must request one at https://tacc.utexas.edu/portal/login?from=/portal/. Getting approval and setting up the multi-factor authentication may take a few days.
Tutorials will be limited to 50 participants. Apply at: https://go.rutgers.edu/4gxadebw. Applications are due by Wednesday, February 12, 2025 at 11:59pm EST.
