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Semiengineering
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Times Are Changing For EDA
- The EDA industry is experiencing a generational shift with pioneers retiring and new entrepreneurs entering the scene.
- EDA companies have faced funding challenges due to lower returns compared to other sectors, leading to fewer startups getting off the ground.
- There is a growing emphasis on data cleanliness and reliability in EDA tools to ensure better outcomes for AI applications.
- The industry is seeing a mix of old and new perspectives, with a call for fresh ideas and approaches to drive innovation.
- Reflecting on past mistakes and optimizing existing tools can lead to substantial improvements in performance and reliability.
- The acquisition of startup companies often results in a halt in information sharing, affecting industry knowledge dissemination.
- CEOs of startups serve as valuable sources of industry insights, but their numbers are declining, raising concerns about knowledge transfer.
- The changing leadership and influx of new engineers in EDA companies signal a shift towards innovative thinking and potential industry transformation.
- The evolution of EDA towards automation and data-driven decision-making raises questions about the balance between human expertise and machine automation.
- The future trajectory of EDA will depend on how effectively the industry navigates these transitions and leverages new technologies for progress.
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