Machine Learning and Pizza

Name: Machine Learning and Pizza
Start: 2024-10-22T12:00:00-04:00
End: 2024-10-22T13:00:00-04:00
Location: Private Location (sign in to display)

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General Event

Tue, Oct 22, 2024

12 PM – 1 PM EDT (GMT-4)

Private Location (sign in to display)

31

Registered

Registration

Registration is now closed (this event already took place).

Details

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).

Speakers

Jonathan Halverson

Research Software and Computing Training Lead

Princeton University

Jonathan Halverson is the Research Software and Computing Training Lead with Research Computing.

Kilian Lieret

Kilian Lieret (he/him) is a Postdoc at the Princeton Institute for Computational Science and Engineering (PICScieE) and the Institute of Research and Innovation in High Energy Physics (IRIS-HEP). As part of his current position, he is coordinating cross-experiment software training at the HEP Software Foundation (HSF). Previously, he finished his PhD in experimental high energy physics at the University of Munich working on the Belle II experiment.

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