The working group held their annual workshop over 6 separate Zoom sessions which were attended by over 60 scientists, post-docs, research leaders, and data managers. The sessions included an annual meeting of the working group, four tutorials on high-performance computing including 1 tutorial on the use of machine learning, and a symposium on the use of AI techniques in agricultural research. Detailed information on all the sessions, including recordings (to be posted soon), can be found on the session pages of the workshop website.
Visit the workshop website for more information
Session 1: Annual Meeting of the SCINet Geospatial Research Working Group
Session 3 Tutorial: Intro to Distributed Computing on the Ceres HPC System Using Python and Dask
Session 5 Tutorial: Distributed Machine Learning: Using Gradient Boosting to Predict NDVI Dynamics