Calibre Fab Insights enables design layout-aware feature extraction using Calibre's core machine-learning platform capabilities. Combined with process and equipment information, it lets engineers embed domain knowledge in feature selection and modeling for more accurate and informed decision-making.
Calibre Fab Insights offers smart manufacturing solutions that monitor the real-time health of machines and provide adjustments to optimize process flows. By forecasting process drifts and identifying root cause failures, Calibre Fab Insights helps mitigate risk in manufacturing and enables customers to achieve high quality and yield of wafers.
Calibre Fab Insights provides a ranking of input parameters that have the most significant impact on the target measurement, such as yield and reliability, for the entire wafer process or process level. This enables Calibre Fab Insights to recommend process recipe settings for a new product or to optimize settings for an existing product's fab recipe
Calibre Fab Insights provides a user-friendly GUI interface for machine learning-based data analysis and process optimization. The GUI dashboard lets engineers detect reliability issues quickly and reduce turnaround time, leading to faster and more accurate decision-making.
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Across all process nodes and design styles, the Calibre toolsuite delivers accurate, efficient, comprehensive IC verification and optimization, while minimizing resource usage and tapeout schedules.