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Learn about Common Crawl's insights from a recent data product and informed solutions for the future of public web data.
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 Common Crawl Foundation is dedicated to preserving humanity's knowledge and making it accessible through its free public web dataset, a vital resource since 2008. As AI development accelerates, concerns have emerged regarding the accessibility and transparency of public web data, impacting open datasets in three key ways: robots.txt exclusions, legal demands, and "bot defenses." Two of these are not visible in public and are not very well understood. In this seminar, Common Crawl will present insights from a new data product that utilizes Common Crawl's crawl metadata to visually explore these three problems, advocating for greater transparency and informed solutions for the future of public web data.
