You are invited to participate in the first annual Machine Learning for Industry Forum (ML4I), to be held as a live virtual event the week of August 9, 2021. The deadline for presentation submissions is June 30.
ML4I is hosted by the High-Performance Computing Innovation Center (HPCIC) and Data Science Institute (DSI), both at the Lawrence Livermore National Laboratory in Livermore, CA.
The Forum is free, but pre-registration is required to attend. As a registered participant you are welcome to enjoy the Forum as audience but are also encouraged to actively participate by presenting your own talk according to the topic list provided, and you may also submit a challenge problem for consideration in advance. Details are in the Call for Presentations and the Call for Challenge Problems: https://ml4i.llnl.gov/call-participation
Participants are encouraged to submit their own Forum presentations according to the Forum Topic list. Information in the presentations should be open and non-proprietary. Presentations are limited to 20 minutes, with an additional 5 minutes for Q&A. The option to submit a presentation is included with the Registration link: https://ml4i.llnl.gov/ml4i-registration
The LLNL Machine Learning for Industry Forum (ML4I) exists to foster the free exchange of ideas and best practices in applying ML/AI methods for solving practical industrial problems. Industrial participants work with the broader research community and solution vendors to identify the most promising solution strategies and demonstrate methods of data analytics that can achieve actionable outcomes. The industrial participants learn solution strategies for their own needs while the research community gains a broader perspective of ultimate use cases for ML/AI methods. All participants will benefit by a tighter community bond between research and application of data analytical methods.
The Forum consists of three half-days organized by themes for exploration and exposition. Each day begins with a keynote speaker to set the stage, followed by discussion on topics central to that day’s theme. The three themes are: Industrial Applications, Tools & Ecosystem, and Special Topics.