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Siemens Digital Industries Software and , a technological research institute focused on smart digital systems research, have signed a memorandum of understanding to collaborate on research to further extend and enhance digital twin capabilities with artificial intelligence (AI) and explore greater integration of embedded software on both virtual and hybrid platforms.

The research collaboration will bring together the Siemens’ Xcelerator portfolio and CEA-List’s toolset to help break down the barriers between electronics design, software development and mechanical engineering disciplines using digital twin technologies. This is expected to help users to reduce the time and cost of verification and validation and to drive improvements in product quality and accelerate time to market across the full electronics systems product lifecycle; from architectural exploration to design and development. Alongside this, the research will further explore the use of digital twin technologies for autonomous driving, smart robotics and health domains.

“With the strong increase in electronics and software content of products and systems, there is a clear need for multidomain, multifidelity system simulation solutions to relieve multiple design and verification challenges. We share a vision with CEA of an even more comprehensive digital twin and believe we can implement this vision through the power of the Siemens Xcelerator portfolio because it covers everything from Electronic Design Automation software and hardware tools to system, sensors and multiphysics simulation software,” says Jean-Marie Brunet, vice president and general manager of Hardware Assisted Verification Division, Siemens Digital Industries Software.

“At CEA-List, we are delighted to partner with Siemens, who share our common vision about the importance of a more holistic digital twin. CEA-List will contribute its expertise in digital technologies and tools from immersive and functional digital twin platforms (XDE and Papyrus), artificial intelligence and code verification areas,” says Alexandre Bounouh, CEO of CEA-List. “We believe that the Siemens and CEA-List digital twin research roadmap can offer best in class tools for generating rapid immersive and functional digital twins enhanced with artificial intelligence.”