By Geetha Rangarajan, Sr. Staff Product Marketing Manager, Strategy & System Architects, Synopsys
AI technology complements the brain power and efforts of humans in many ways: it gives us insights into various health parameters, helps us produce things more efficiently, and brings a deeper understanding of what’s happening in our environment, for example. Now, AI is even helping engineers design chips for AI applications.
It’s not that AI is taking over for engineers. Rather, the AI-driven chip design technologies complement the efforts of engineers, taking on the more repetitive tasks so that engineers can focus on more value-added work. And, given that engineering resources are so constrained these days, AI enables design teams to do more with less.
Perhaps you’ve heard about new innovations enabling AI in chip design. AI-driven design space optimization analyzes large data streams generated by design tools. Learning in real time and providing quick, yet meaningful, results, this technology can help you achieve power, performance, and area (PPA) targets faster. As such, it lets you devote more time to product differentiation, higher yield design spaces, and other critical efforts.
Maybe your team is starting to explore some of these tools, such as Synopsys DSO.ai™, the industry’s first autonomous AI application for chip design. But you’ve still got some lingering questions:
To help you navigate the increasingly intelligent world of chip design, we’ve started a new AI podcast. Each segment is a few minutes long and answers key questions, with insights provided by our technical experts. Consider this a primer on AI.
Here are the first four episodes of our podcast. Watch this page for new installments each month.
Understand what’s driving the need for AI-driven design automation solutions like Synopsys DSO.ai and how these tools can benefit the design community.
Learn what’s needed to take your first steps into the world of AI-driven design.
Get a better understanding of how AI technology that can massively scale the exploration of potential choices for your design can be reused across projects and teams, amplifying productivity and accelerating innovation.
See all that you can do with AI to maximize benefits for your design.