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$GTCH Typically, the industry is using separate electronic design automation (EDA) tools for specific topic which creates vast integration efforts. GBT plans to offer a one-shop stop for the entire IC design flow. GBT believes that a comprehensive, highly automated flow, would enable fast-track for an IC design project by combining traditionally separate front-end and back-end chip design technologies, into one integrated flow. The automated flow is being designed to eliminate iterations between EDA tools, accelerating the design cycle and reducing the overall IC development time and costs. The system plans to support mixed signals System on a Chip (SoC), digital cores and analog IPs. The research is examining the use of the GBT’s machine learning-driven accelerators to dramatically enhance design productivity and enabling design reuse in the design environment. Deep learning algorithms will aim to provide rapid design capabilities by analyzing and optimizing circuit designs and layouts. The system will take into consideration the process design rules, reliability constraints, DFM and thermal analysis aspects. GBT believes that its research will illustrate that this type of a machine learning-driven, unified, IC design environment will provide a quantum leap in efficiency and productivity for microchip’s designers, significantly reducing the overall IC’s design time.

https://www.marketwatch.com/press-release/gbt-is-researching-the-development-of-a-unified-machine-learning-driven-automated-ic-design-environment-2022-06-06?mod=mw_quote_news_seemore