eventWorkshop
Tim de Silva | AI Financial Advice: Supply, Demand, and Life Cycle Implications
SeminarOct 07, 202612:00 PM - 1:15 PM
October
07
2026
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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.
The goal of this symposium is to introduce the Center for Neural Data Science, a collaboration between Stanford Data Science and the Wu Tsai Neurosciences Institute led by Scott Linderman and Laura Gwilliams
We invite Stanford affiliates to join our community of researchers with shared interests in neuroscience and data science. This event will feature talks from Stanford faculty as well as several opportunities to meet and mingle with colleagues. It will kickstart the Center’s smaller and more regular events, including journal clubs and an internal seminar series.
This in-person event is a great chance to connect with fellow researchers and experts in the field of neural data science. Don't miss out on this unique opportunity to learn and collaborate with peers who share your passion for advancing the field.
To receive timely notifications about the new Neural Data Science Center, please subscribe to our newsletter!
Note: Agenda is subject to change
Time | Session |
|---|---|
| 12:00 - 1:00 PM | Lunch and Registration |
| 1:00 - 1:15 PM | Opening Remarks |
| 1:15 - 2:00 PM | Talk by E.J. Chichilnisky Talk Title: Toward harnessing the neural code of the retina for vision restoration and science |
| 2:00 - 2:45 PM | Talk by Kalanit Grill-Spector Talk Title: Understanding the human visual system: From spatiotemporal population receptive fields to topographic deep neural networks |
| 2:45 - 3:15 PM | Break |
| 3:15 - 4:00 PM | Talk by Anne Brunet Talk Title: Quantifying the dynamics of aging |
| 4:00 - 4:45 PM | Talk by Andreas Tolias Talk Title: Foundation models of the brain |
| 4:45 - 5:00 PM | Closing Remarks |
| 5:00 - 6:30 PM | Networking Reception |
