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AI and ML technologies are used by semiconductor manufacturers to solve quality, productivity and supply chain challenges using the next-generation approach of advanced and intelligent algorithms.
Automated manufacturing solutions can improve productivity and quality while reducing overall costs. Among the many ways they do so is by enabling improved collaboration in one factory or across sites, providing accurate insights into equipment states for better tool management, and managing scheduling solutions using real-time data.
Manufacturing simulation software can predict the impact of a particular change to the manufacturing process before it is made live in the production environment. This can identify potential problems to address prior to implementation, as well as help manufacturers find the most advantageous solutions.
Simulation software can model scenarios and generate synthetic data to use in AI training. Training models on rich datasets develop more robust, resilient models. Evaluating on-edge cases or other diverse scenarios that seldom occur in historical data increases generalization abilities of models, which improves accuracy overall.
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