Researchers who traditionally use high-performance computing (HPC) are increasingly looking to AI for everything from data pre-processing to improving the accuracy of their models to real-time control software.  GPUs are natural vehicles for supporting AI in scientific computing.

In this two-day training event, sponsored by PICSciE and co-sponsored by CSML, instructors from NVIDIA will introduce the core concepts of Neural Networks, along with real-world problems that participants will work on to learn AI concepts with step-by-step instructions and apply the techniques they learn. It is designed for computational scientists and researchers from different scientific domains who want to learn how to incorporate AI into their computing workflows using GPUs.

Participants in this AI-for-Science Bootcamp will have a hands-on learning experience, guided by step-by-step instructions, with teaching assistants on hand to help throughout. Access to GPU computing environments will be provided by NVIDIA.

Prerequisites:

Participants should have reasonable experience with Python programming.  Beyond that, no prior experience with GPU programming or AI is assumed.

Format:

This event will be held online over Zoom (all times are Eastern Time Zone, Princeton-local times).  Accepted participants will have their registrations confirmed approximately one week before the events and be given a Zoom link.

Application:

Acceptance at the AI Bootcamp is not automatic. Prospective participants should fill out a brief application and will receive final confirmation of their acceptance 1-2 weeks before the event.

All students, researchers, faculty, and staff are encouraged to apply.  Princeton-area applicants will be given priority, but space permitting, applications from other institutions will also be considered.