Description:
Autonomous manufacturing is becoming a reality by combining mechanistic (digital twin) and machine learning models, soft sensors and in-line-monitoring. Join us to learn how to use this data and the technology and infrastructure required to enable fully autonomous manufacturing with AI control.
Sponsor:
Sponsored Technology Workshops
Co-Sponsor(s):
Applications of Data Science to Molecules and Materials (T3)
Chair:
Bryan Pope
Quartic.ai, Boston, MA
Abstract Submissions Closed
See more of this Group/Topical: Sponsored Technology Workshops