...
| Table of Contents | ||||
|---|---|---|---|---|
|
Upcoming Seminar
...
Past Seminars
...
Machine Learning at NERSC: Past, Present, and Future
Date: May 16, 2pm
Speaker: Prabhat (NERSC)
Modern scientific discovery increasingly relies upon analysis of experimental and observational data. Instruments across a broad range of spatial scales: telescopes, satellites, drones, genome sequencers, microscopes, particle accelerators, gather increasingly large and complex datasets. In order to ‘infer’ properties of nature, in light of noisy, incomplete measurements, scientists needs access to sophisticated statistics and machine learning tools. In order to address these emerging challenges, NERSC has deployed a portfolio of Big Data technologies on HPC platforms. This talk will review the evolution of Data Analytics tools (statistics, machine learning/deep learning) in the recent past, comment on current scientific use cases and challenges, and speculate on the future of AI-powered scientific discovery.
...
...
Optimization for Transportation Efficiency
...