AI-Based Optimization of Logic Gates for Improved Processor Performance

This literature-based review looks at how artificial intelligence, including machine learning and reinforcement learning, can help optimize logic gates and circuits in processor design. It explains how gates, ALUs, and processor performance connect, compares conventional logic synthesis with AI-assisted methods, and summarizes recent studies. It also proposes a simple experiment using benchmark circuits and discusses the limits of the approach, such as verification, generalization, and computing cost. The review concludes that AI's benefit should be measured, not assumed. If you meant something else, such as a one-line summary, a description for a file upload or submission form, or a longer version, tell me which and I'll rewrite it to fit.