This workshop will explore how artificial intelligence is used to reconstruct biomedical microscopy data, emphasizing both the opportunities and the risks of these approaches. While AI has enabled remarkable advances …
This workshop will introduce the UCLA research community to the application of diffusion probabilistic models for medical imaging problems, with a focus on MRI. Participants will learn both the fundamentals …
This workshop introduces core methods for generating high-quality meshes used in large-scale simulation, scientific computing, and computer graphics. We will explore how Voronoi tessellation and Delaunay triangulation form the foundation …
This workshop will introduce researchers to cutting-edge machine learning (ML) methods that are transforming computational chemistry and materials science. Participants will learn how ML models can accelerate atomistic simulations, bridging …
This in-person workshop will introduce the UCLA research community to the emerging class of Time Series Foundation Models (TSFMs) and their application to sustainability challenges such as electricity grid carbon …
