Synopsys has made a groundbreaking announcement on Wednesday, unveiling a cutting-edge generative AI tool that aims to accelerate chip design. Recognizing the significant potential of applying artificial intelligence techniques to the complex task of semiconductor design, Synopsys has invested heavily in research and development to thrive in the AI-driven era.

The result of this investment is Copilot, a state-of-the-art electronic design automation software empowered by AI. This software is the outcome of a strategic collaboration between Synopsys and Microsoft, utilizing advanced language models from OpenAI running on the highly regarded Microsoft Azure cloud computing platform.

One of the most alluring features of generative AI is its ability to understand and respond to natural language requests, even for highly technical tasks. This capability is now being harnessed to tackle one of the most challenging technical hurdles in the industry—engineering cutting-edge chips.

Addressing the industry’s pressing need for faster, more efficient, and optimized computing, Shankar Krishnamoorthy, General Manager of the Synopsys EDA Group, explains how the Copilot tackles the increasing complexity in chip development. He states, “The semiconductor industry is racing against time to meet these demands while simultaneously grappling with a predicted 15% to 30% workforce gap for chip design engineers by 2030.” The AI-driven design software represents a partial solution to these challenges.

Synopsys reveals that this revolutionary tool will continue to evolve and learn new skills over time. Consequently, it will streamline chip makers’ productivity and help them achieve design targets throughout all stages of chip development, from system architecture exploration to final manufacturing.

While Copilot is currently available exclusively to early access customers, its future impact on the chip design landscape is highly anticipated.

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