July 22, 2021 — Attendee registration is open through July 29 for LLNL’s first-ever Machine Learning for Industry Forum (ML4I), a three-day virtual event starting Aug. 10.
The forum aims to foster and illustrate the adoption of machine learning methods for practical industrial outcomes, with a strong emphasis on manufacturing. Over the course of the event, attendees will engage in dialog about applications, tools and techniques and special topics centered around machine learning’s impact and potential in industry.
Topics will include process control and optimization, computer vision and robotics, workflows, hardware and software, dataset augmentation and curation and physics-constrained learning. The forum also will highlight industry use cases. More than 50 presentations have been submitted worldwide.
Keynote speakers include Devesh Upadhyay of Ford Motor Company, Pieter Abbeel of the University of California, Berkeley’s Robot Learning Lab and Pamela Isom, acting director for the Department of Energy’s Artificial Intelligence Technology Office. Additionally, there will be expert panel sessions on ML Workforce and Resources and on Dataset Sharing and Security.
The event is sponsored by LLNL’s High Performance Computing Innovation Center and the Data Science Institute.