Technical Paper

AI and ML in Calibre IC Manufacturing: the intelligent solutions driving innovation

A semiconductor engineer in a cleanroom examines a silicon wafer under bright lighting, surrounded by computer monitors displaying data and a microscope, illustrating advanced chip manufacturing and inspection processes.

Advanced node manufacturing faces unprecedented process complexity, shrinking margins for error and tighter market windows. The Calibre platform from Siemens EDA integrates AI and ML to break through these roadblocks, using data-driven intelligence to dramatically accelerate yield ramp, enhance lithographic modeling, find defects early and optimize production resources. With proven results—such as a 3% yield improvement and up to 100X faster hotspot detection—Calibre’s AI/ML platform is redefining manufacturability at every step.

What you’ll learn:

  • How AI and machine learning in Calibre accelerate yield ramp and defect reduction
  • Ways ML-driven modeling improves lithography and process accuracy at advanced nodes
  • Methods to identify and address yield-limiting hotspots faster than traditional tools
  • How intelligent resource optimization reduces compute time and speeds tapeout

Who should read this:

  • Process engineers at foundries and fabs
  • EDA tool evaluators and CAD engineers
  • Yield enhancement and DFM specialists
  • Engineering managers in advanced IC manufacturing

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