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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
For 9/23 and 10/7 only, sessions are at the David Packard Electrical Engineering Building, Room 101. Each session features a different Stanford speaker; talk titles are announced by the organizers.

For 9/23 and 10/7 only, sessions are at the David Packard Electrical Engineering Building, Room 101. Each session features a different Stanford speaker; talk titles are announced by the organizers.
On April 29, 2025, Stanford Data Science will host its fourth annual conference, a dynamic gathering showcasing the cutting-edge work of faculty and early-career Stanford researchers. The agenda is available on the main conference page
This daylong event is designed to spark ideas, foster interdisciplinary collaboration, and strengthen our data science community by bringing together faculty, postdocs, students, and staff from across disciplines. Don’t miss this opportunity to connect, learn, and break down traditional silos in the pursuit of data-driven discovery.