AI in Semiconductor Mask Manufacturing

During the manufacturing process, inspection of semiconductor photomasks post production is an effort and time intensive process often subject to human errors. Artificial Intelligence models can be used specifically to help isolate, process and classify defects. This in turn can help with tracking to reduce inefficiencies, improve insights based decisions for the next step in manufacturing and achieve significant improvements in time and cost.
Who is this presentation for?
Anyone interested to learn how AI can be applied for quality control and image processing applications
Prerequisite knowledge:
None
What you'll learn?
Use of AI in defect detection and classification for mask making

Initiatives in AI for Quality Control in Semiconductor manufacturing.