AI ML Bootcamp 2026: Difference between revisions
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The program is designed to move beyond basic usage. Attendees will learn how to run and evaluate their own models, understand the underlying principles of AI systems, and begin integrating these approaches into real biomedical research projects. By the end of the session, participants will have a clear pathway for transitioning from basic users of AI tools to advanced practitioners, and potentially developers, capable of building and adapting AI-driven solutions within the biomedical research ecosystem. | The program is designed to move beyond basic usage. Attendees will learn how to run and evaluate their own models, understand the underlying principles of AI systems, and begin integrating these approaches into real biomedical research projects. By the end of the session, participants will have a clear pathway for transitioning from basic users of AI tools to advanced practitioners, and potentially developers, capable of building and adapting AI-driven solutions within the biomedical research ecosystem. | ||
== Program Information == | |||
Date: Friday, August 21 | Date: Friday, August 21 | ||
Revision as of 14:41, 8 May 2026
This full-day bootcamp provides an intensive introduction to artificial intelligence applications in biomedical research. Participants will gain practical experience with modern AI methods and learn how these tools can be applied across research and development workflows.
The program is designed to move beyond basic usage. Attendees will learn how to run and evaluate their own models, understand the underlying principles of AI systems, and begin integrating these approaches into real biomedical research projects. By the end of the session, participants will have a clear pathway for transitioning from basic users of AI tools to advanced practitioners, and potentially developers, capable of building and adapting AI-driven solutions within the biomedical research ecosystem.
Program Information
Date: Friday, August 21
Time: 9:00 AM – 5:00 PM
Location: Gelman Library, Rooms 323–324
Registration: