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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 Hoffman-Yee Grant Symposium highlighted the work of the 2022 winners of the Hoffman-Yee Research Grants. The teams presented their results to date, plans for the future, and competed for additional funding of up to $2 million over the next two years. The grant program is a multiyear initiative to invest in research that leverages artificial intelligence to address significant scientific and/or societal challenges aligned with Stanford HAI’s key areas of focus: understanding the human and societal impact of AI, augmenting human capabilities, and developing AI technologies inspired by human intelligence. We believe the results of these projects could play a significant role in defining future work in AI from academia to industry, government, healthcare and civil society.
At the Symposium, the 2021 recipients of Hoffman-Yee Research Grants also presented results from their research to date and plans for the future.
