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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.
Speaker: Zoë Hitzig, Junior Fellow, Harvard Society of Fellows
Speaker Bio: Zoë is currently a Junior Fellow at the Harvard Society of Fellows and a Research Scientist at OpenAI. She earned her PhD in economics from Harvard University in 2023, where she specialized in research on privacy, transparency, and algorithms in markets and communication. Zoë’s poetry, known for its sharp intellect and imaginative breadth, has appeared in prestigious publications such as The New Yorker, London Review of Books, and Boston Review. She is the author of two acclaimed poetry collections, including Mezzanine and Not Us Now, which explore themes at the intersection of philosophy, economics, and technology. Zoë combines her creative and analytical talents to investigate how economic theory and poetic expression can illuminate complex social and technological issues. Her work reflects a powerful commitment to experimentation and envisioning new possibilities for society.
The logistics details for each session will be provided to registered participants. Sign up here to be included on the mailing list and learn about future events.
This talk is co-sponsored by USF's Master's in Applied Economics and the Stanford Causal Science Center. For additional information and abstracts from past talks, please click here