NCSA is hosting a Machine Learning and Big Data workshop presented by the Pittsburgh Supercomputing Center. This workshop will focus on big data analytics and machine learning with Spark, and deep learning using Tensorflow. This is an IN PERSON event, there WILL NOT be a virtual option for this event.
Join us for an engaging lunchtime seminar hosted by the Center for AI Innovation at the University of Illinois, where Rohan Marwaha and colleagues will demonstrate how to use Cursor and other powerful AI command-line tools to boost productivity and innovation in your workflows.
The Computing Community Consortium (CCC) is launching a new series of CCC Community Chats, designed to spark broad discussion on key issues in computing research. The first event, CCC Community Chat: Envisioning Possible Futures for AI Research, will feature David Jensen (UMass Amherst), lead author of the CCC whitepaper Envisioning Possible Futures for AI Research.
Co-organized by the Center for Artificial Intelligence Innovation at the National Center for Supercomputing Applications. The main goal is to let talented UIUC students showcase their skills in a friendly competition while working on challenging problems involving computational science and machine learning using state-of-the-art computational systems at NCSA.
This workshop, presented by Zoe Ryan from NVIDIA, will give you hands-on experience accelerating Python codes with NVIDIA GPUs. The workshop will focus on CuPy, NVIDIA RAPIDS, and NVIDIA Warp.
This workshop will give you hands-on experience using TorchGeo for geospatial deep learning. TorchGeo is a PyTorch domain library, similar to torchvision, providing datasets, samplers, transforms, and pre-trained models specific to geospatial data.