Here are our top five articles from our technical experts:
In this post, Mike Gianfagna posits the question, “Which came first, AI or the chips that accelerate AI?” In fact, applying AI to design AI chips is a game changer, and Mike provides a great overview of the industry buzz on this topic.
Kiran Vittal shows us that it’s not just semiconductor companies designing today’s AI chips. The explosion of AI chips has changed the silicon engineering landscape. With these changes come challenges and opportunities to expand AI chips across applications. Learn why advanced datapath verification is critical to take us from an age of AI acceleration to cognitive systems.
Gianfagna is back again, discussing how complex chips requiring autonomous design can give designers visibility into an infinite number of possibilities and deliver autonomous insight for a new era.
Stelios Diamantidis explores how AI can take the guesswork out of chip design to achieve power, performance, and area targets faster, freeing engineering expertise up for more value-added work.
Arun Venkatachar gives an overview of the Synopsys partnership with the IBM Research AI Center and how we are collaborating to improve AI performance by 1000x over the next decade.
Continue to stay on top of what’s happening in AI chip design and AI-enabled applications by following our “From Silicon to Software” blog.