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This chapter explores how Artificial Intelligence (AI) is transforming System-on-Chip (SOC) design, from the manual methods of the 1990s to AI-driven automation in modern VLSI workflows. It highlights how AI enhances architecture exploration, verification, layout optimization, and post-silicon validation, significantly reducing design time and improving efficiency. Addressing the myth of job loss, the chapter explains that AI automates repetitive tasks but shifts engineers toward higher-value roles in design strategy and AI model training. It also examines the future of VLSI design, where AI-driven tools like design co-pilots, reinforcement learning, and real-time chip optimization will redefine semiconductor innovation. Readers will gain insights into how AI adoption is shaping the semiconductor industry, balancing automation with human expertise for the next generation of chip design.

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Impact of Adoption of AI in SOC Design Flow

  • 章节

  • 发表日期：

    2025年

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  • Simon Sabato

摘要

This chapter explores how Artificial Intelligence (AI) is transforming System-on-Chip (SOC) design, from the manual methods of the 1990s to AI-driven automation in modern VLSI workflows. It highlights how AI enhances architecture exploration, verification, layout optimization, and post-silicon validation, significantly reducing design time and improving efficiency. Addressing the myth of job loss, the chapter explains that AI automates repetitive tasks but shifts engineers toward higher-value roles in design strategy and AI model training. It also examines the future of VLSI design, where AI-driven tools like design co-pilots, reinforcement learning, and real-time chip optimization will redefine semiconductor innovation. Readers will gain insights into how AI adoption is shaping the semiconductor industry, balancing automation with human expertise for the next generation of chip design.