Synopsys, Inc. announced the adoption of DSO.ai™ (Design Space Optimization AI), Synopsys' autonomous artificial intelligence (AI) design system, by Renesas into its advanced automotive chip design environment. With DSO.ai's reinforcement learning technology, Renesas can augment its ability to search vast design spaces for better performance-power-area (PPA) solutions, pushing the envelope on energy efficiency for advanced automotive ICs without forgoing operating frequency. This enables Renesas to explore a larger scale of choices in existing chip design workflows, paving an accelerated path to meeting PPA targets. Synopsys' DSO.ai solution demonstrates AI technology advantages and accelerates the process of searching for optimal solutions by enabling autonomous optimization of broad design spaces. The DSO.ai engines ingest large data streams generated by chip design tools and use them to explore search spaces, observe how a design evolves and adjust design choices, silicon-technology parameters and workflows to guide the exploration process towards multi-dimensional optimization objectives. AI makes it possible to standardize reuse across the organization, enabling design teams to consistently operate at expert levels and maximize compute resources' efficiency. With Synopsys DSO.ai, design teams can reimagine the chip design workflow to achieve better PPA, maximize the benefits of silicon process technologies, and slash lead times to bringing new or derivative products to market.