Lab offers forum on machine learning for industry

LLNL
ML4

Lawrence Livermore National Laboratory (LLNL) is looking for participants and attendees from industry, research institutions and academia for the first-ever Machine Learning for Industry Forum (ML4I), a three-day virtual event starting Aug. 10.

Pre-registrations are open for the forum, which 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, supply chain optimization and physics-constrained learning. The forum also will highlight industry use cases.

Devesh Upadhyay of Ford Motor Company, Pieter Abbeel of the University of California, Berkeley’s Robot Learning Lab and LLNL physicist Fred Streitz, chief scientist for the Department of Energy’s Artificial Intelligence Technology Office, will present keynote speeches. Other presentations will be added and announced at a later date.

The event is sponsored by LLNL’s High Performance Computing Innovation Center and the Data Science Institute.

The deadline for submitting presentations or industry use cases is June 30. The deadline for attendee registration is July 29.

To find out more, visit the web. To register, click here.

/Public Release. This material comes from the originating organization and may be of a point-in-time nature, edited for clarity, style and length. View in full here.