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*Don’t Let Your Color Expertise Retire: Building an AI Tool That Learns and Diagnoses in the Dye House

Monday, November 2 @ 4:35 pm - 5:25 pm

Yuan Sun Ph.D., Candidate Student, Color Science and Imaging Laboratories, North Carolina State University

Coloration defects in dyeing and printing are difficult to diagnose because the root causes span fiber type, machine configuration, processing parameters, and dyestuff selection. This session walks through an AI diagnostic platform built on five expert systems (DEXPERT series: cotton, polyester, blends, protein fibers, and inkjet printing), connected via LLM function calling, a crosslink knowledge graph, and a self-maintained knowledge base. Attendees will see how rule-based systems and LLMs complement each other and where AI fits into coloration QC. A live demonstration is included.

Details

  • Date: Monday, November 2
  • Time:
    4:35 pm - 5:25 pm

Other

Session Type
Classroom Education
Event Type
Emerging Technologies Conference
Topic
Emerging Technologies