According to Reuters reports on the impact of Ukraine war, more U.S. tech companies are leaving Russia: Microsoft is substantially cutting its activity in the country, while IBM is closing its Russian business and has started to lay off its employees. Russia, for its part, has limited exports of noble gases including neon – used in chip fabrication – until the end of 2022. Exports will be allowed only with special State permission. Let’s now move to our usual tech news round-up, starting with a brief update on TSMC’s roadmap: the Taiwanese foundry has reportedly chosen the nanosheet transistor architecture for its next 2-nanometer node starting in 2025. As for EDA, the use of artificial intelligence/machine learning in chip design is in the spotlight this week with two significant announcements.
Synopsys’ machine learning-based design optimization solution
Synopsys has introduced DesignDash, a design optimization solution based on machine learning and big data analytics. According to the company, DesignDash enhances design productivity in different ways: by providing real-time design status through visualizations and interactive dashboards; deploying deep analytics and machine learning to extract and reveal actionable understanding from vast volumes of structured and unstructured EDA metrics and tool-flow data; classifying design trends, identifying design limitations, providing guided root-cause analysis and delivering flow consumable, prescriptive resolutions. The solution complements the Synopsys SiliconDash product, part of the Synopsys Silicon Lifecycle Management Family.
