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A Center for Neural Data Science Seminar Series

A Center for Neural Data Science Seminar Series
This session covers the foundational knowledge of GPUs, including their architecture, functionality, and applications in computing. It provides an introduction to GPU computing through the lens of the Marlowe SuperPod and prepares learners for advanced topics such as GPU-accelerated data science and machine learning.
Location: CoDa W401

This session covers the foundational knowledge of GPUs, including their architecture, functionality, and applications in computing. It provides an introduction to GPU computing through the lens of the Marlowe SuperPod and prepares learners for advanced topics such as GPU-accelerated data science and machine learning.
Location: CoDa W401
The call for posters for our Fall Conference is officially open!
Perspectives from the sciences, engineering, social sciences, humanities, medicine, law, education, business, and the arts are all welcome.
Stanford graduate students and postdoctoral scholars from every discipline are invited to present AI-related work during the poster session. We welcome projects that develop, apply, study, critique, govern, or otherwise engage with AI, including work that examines its opportunities, limitations, consequences, and the decisions ahead. Selected presenters will receive a standardized poster template, and printing costs will be covered for posters submitted by the deadline. Presenters should plan to attend the full conference day; poster session details will be shared closer to the event.
Submit your poster proposal (title and abstract) by Monday, October 5, at 5:00 p.m. PT.
Submit title & abstract