DALL-E The Role Of AI In Key Areas Of Chip Design The increasing complexity of semiconductor chips, with billions of transistors densely packed, poses challenges in performance, efficiency, and design time. AI is now a powerful assistive tool, automating many aspects of chip design. In placement optimization, AI models like those used by Google’s TPU design leverage reinforcement learning to place components faster and more efficiently. AI tools like MaskPlace ensure optimal configurations, allowing engineers to focus on higher-level tasks. Similarly, routing – where signal paths are established – benefits from AI models like those used by NVIDIA, balancing signal performance and thermal management. AI’s influence extends into logic synthesis, where models like DRiLLS use deep reinforcement learning to automate hardware logic mapping. By significantly reducing the […]