Open Source AI and Applied Science

Citizen Science in Libraries: Bridging the Gap Between Communities and Science

Vivienne Byrd

Empowering Women in Data: Shaping an Inclusive AI Future

Autumn Nash

From Machine Learning to Machine Reasoning and why it matters for Life Sciences

Khai Pham

Navigating Open Science - when you don't know what you don't know

Karen Yuen

How Open is Open? Transparency and Accountability in Open-Source LLMs.

Frank Coyle

How to use open-source tools to serve an AI/ML model on private infrastructure

Saian Ford, Aaron Vega

Standardized Radiomic Image Feature Calculation

Kate Sweetland, Darryl Hwang

Discovering Business Insights with Open Source Machine Learning: Tools, Techniques and Tips

Hema Veeradhi, Surya Pathak

From Data Tsunami to Actionable Insights

Cali Dolfi, Dawn Foster

Training AI on Your Own Data

Nuri Halperin