Workshop 1

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The National Science Foundation (NSF) and the National Institute of Standards and Technology (NIST) are sponsoring a workshop, hosted by the University of California, Los Angeles (UCLA), that brings together leadership from both the Advanced Manufacturing and Artificial Intelligence (AI) communities. The workshop is titled “Aligning AI and U.S. Advanced Manufacturing Competitiveness.” We invite you to participate in the invitation-only work sessions being held virtually on Wednesday, December 2nd and Friday, December 4th. The goal is to discuss digital transformation priorities for manufacturing competitiveness and resilience, and on the practical opportunities for AI/ML, near and longer term.

Workshop outputs include a readily consumable report and the socialization of the resulting opportunities and challenges among the sponsors and respective agencies, the participating organizations, the Manufacturing USA Institutes, and other government entities. The workshop is also a key step toward the 2021 objective of producing a roadmap that drives opportunity and value for AI in Manufacturing.

To address the goals, the workshop centers on multidisciplinary and cross-functional workgroups that will consider AI/ML priorities in advanced manufacturing spanning supply chains, factory operations, workforce, and data exchange. We cannot overstate how important we see the critical need for a diverse, multi-community, and multi-stakeholder participation. Your representation, expertise, and perspective will be key.

The workshop will open with back-to-back moderated panels, one on manufacturing and one on AI, to set the stage with national perspectives on manufacturing digitalization priorities and challenges. Lynne Parker, Deputy United States Chief Technology Officer, Assistant Director for Artificial Intelligence (AI) in the White House Office of Science and Technology Policy, will moderate the AI panel, and Susan Smyth, SME President, US Army Science Board, GM Chief Scientist for Manufacturing (Retd), will moderate the manufacturing panel. Panelist perspectives include national leaders and company decision makers representing global manufacturing operations and supply chains, the manufacturing CIO role, Manufacturing USA Institutes, global IT infrastructure, commercial AI, and academic AI research.