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The emergence of generative AI presents tremendous opportunities for advancing technical and business processes in high tech and semiconductor industries. From optimizing complex system design processes to accelerating time-to-market for new products, generative AI has unlimited potential to improve engineering and manufacturing methodologies and processes.
Generative design methodologies powered by AI can automatically design chips and electronic subsystems given the right prompts and desired parameters and constraints without intensive engineering efforts, freeing up resources. For instance, generative AI engineering assistants can help new engineers become up to 2X more productive by interacting with design tools using natural language. For process improvements that directly impact project timelines and business outcomes, generative AI can facilitate rapid development of product datasheets, technical manuals, and associated documentation customized for target audiences and markets. Further efficiency gains can be realized by using engineering assistants for research and providing engineers with contextual recommendations, thereby assisting human teams to quickly address critical research problems.