This event will provide a tour of the various machine learning (ML) resources available to researchers and students at Princeton. Learn about upcoming training opportunities, free credits for cloud computing, the AI Sandbox from OIT, tips for running GPU jobs on the Research Computing systems, and updates on the popular deep learning frameworks (PyTorch, JAX, TensorFlow). Attendees will also hear about the three initiatives within the Princeton AI Lab from these individuals:

Andrew Nam, Postdoctoral Researcher, Natural and Artificial Minds
Yue Wu, Postdoctoral Researcher, A.I. for Accelerating Invention
Kilian Lieret, Research Software Engineer, Princeton Language and Intelligence

Experienced ML practitioners and complete beginners are welcome to attend. Food will be served at the beginning of the event. Registration is required. An email will be sent to registrants about dietary restrictions.

The room can be hard to find so watch a video: https://tinyurl.com/lewis245

Organized by the Princeton Institute for Computational Science and Engineering (PICSciE) and Research Computing. This event is co-sponsored by the Center for Statistics and Machine Learning (CSML).