Semiconductor manufacturing is a process that demands extreme precision, where even microscopic defects can impact chip performance and yield. As device complexity increases, manufacturers are turning to Artificial Intelligence (AI) and Machine Learning (ML) to optimize production, reduce defects and improve overall efficiency. Erik Hosler, an expert in semiconductor automation and AI-driven manufacturing processes, recognizes how these technologies are redefining speed, accuracy and efficiency in chip production. AI’s Role in Semiconductor Yield Optimization Yield optimization is one of the most crucial aspects of semiconductor production, directly influencing cost efficiency and

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