AI for Advanced Manufacturing

Robotics

Symposium Co-Chairs

Scott Broderick
Assistant Professor
University at Buffalo, SUNY

Key Speakers

Efficient Navigation of Additive Manufacturing Process Space via Data-Driven and Bayesian Inference Methods
Prasanna Balachandran
Assistant Professor, University of Virginia

Machine learning driven materials discovery, manufacturing process optimization, and intelligent applications
Wan Shou
Assistant Professor, University of Arkansas

Artificial intelligence and machine learning are already making an impact in the manufacturing sector. With AI products can be better designed, and designed to be more effectively manufactured. Processes can be continually monitored and optimized to cut down unplanned downtime. Enhanced data collection and AI-powered analytics can significantly increase efficiency, product quality and the employee safety.

Join us for this exciting symposium featuring the latest innovations and future directions for AI in advanced manufacturing.

Sponsor & Exhibitor Opportunities

Exhibit and Showcase

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Please contact: Denise Lee

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