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Machine Learning for Industry Forum 2021 (ML4I 2021)

August 10-12, 2021

 

 

Call for Participation

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 intention of ML4I is to foster and illustrate the adoption of ML methods for practical industrial outcomes. The forum will consist of a robust and open dialog between industry, research institutions, vendors, and academia to strengthen the technology transfer of ML methods to industrial needs.

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 below 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 below.

 

Register

What is ML4I?

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.

Key Dates

Call for Presentations Deadline: June 30, 2021

Call for Industry Use Cases Deadline: June 30, 2021

Registration Deadline: July 29, 2021

Forum Topics

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.

 

Day 1: Industrial Applications

Keynote: Devesh Upadhyay, Technical Expert and Leader Core AI-ML Research at Ford Motor Company

Day 2: Tools and Techniques

Keynote: Pieter Abbeel, Professor and Director, UC Berkeley Robot Learning Lab, President and Chief Scientist at Covariant AI.

Day 3: Special Topics

Keynote: Pamela Isom, Acting Director of the Artificial Intelligence and Technology Office and Deputy Chief Information Officer for Architecture, Engineering, Technology, and Innovation for the United States Department of Energy (DOE)