CORES Annual Symposium 2024
Reproducibility in Machine Learning
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Reproducibility in Machine Learning
The rapid acceleration of AI comes with a profound wave of anxiety. Across every sector of society, people are facing unsettling questions about their worth and their place in a shifting world.

The rapid acceleration of AI comes with a profound wave of anxiety. Across every sector of society, people are facing unsettling questions about their worth and their place in a shifting world.
Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.

Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.
An AI Measurement Science (AIMS) Seminar Series

An AI Measurement Science (AIMS) Seminar Series
Faculty and students come together for a half-day symposium to delve into the fascinating world of Reproducibility in Machine Learning. This is an exceptional opportunity to amplify your knowledge and understanding of this essential aspect of machine learning.
View the Agenda here (subject to change).