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Practical AI
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Innovative Co-Design in AI Development
This chapter explores the simultaneous co-design of hardware and software for AI systems, highlighting the integration of machine learning algorithms with power management. It discusses the challenges of moving from traditional CPU-based architectures to advanced ML architectures while emphasizing the need for flexibility in software development. Additionally, the importance of robust testing and an open-source approach is underscored to navigate the rapid evolution in AI technologies.
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