CEA and Siemens Collaborate on Research to Expand Applications of Digital Twin for Industry

Siemens Digital Industries Software and CEA-List, a technological research institute focused on smart digital systems research, announced today the signing of 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 two organizations’ combined industry expertise with 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 customers to significantly reduce the time and cost of verification and validation and to drive significant 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 multi-domain, multi-fidelity 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 multi-physics simulation software,” said Jean-Marie Brunet, VP&GM of Hardware Assisted Verification Division, Siemens Digital Industries Software. “From chip-to-system, this collaboration with CEA-List is expected to further expand the application domains and technology breadth of these solutions.”

“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,” said 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. This can certainly boost the competitiveness of companies by integrating Digital Twin technology early to innovate in their products and processes while keeping humans in the loop and reducing their environment impact.”

Siemens Digital Industries Software helps organizations of all sizes digitally transform using software, hardware and services from the Siemens Xcelerator business platform. Siemens’ software and the comprehensive digital twin enable companies to optimize their design, engineering and manufacturing processes to turn today’s ideas into the sustainable products of the future. From chips to entire systems, from product to process, across all industries. Siemens Digital Industries Software – Accelerating transformation.

Hot this week

Market Opportunity for Sensors in Humanoid Robots to Exceed US$6.59 billion by 2037

Humanoid robots are transitioning from conceptual prototypes to AI-driven...

Scantron Unveils Next-Generation Proscan 3D Line Defect Detection and Measurement System (DDMS)

Scantron Industrial Products Ltd is pleased to announce the...

Castrol ON PG25 cooling fluids validated for NVIDIA AI factory and data centre infrastructure

Castrol announced today that two of its direct-to-chip cooling...

Precision Micro sees semiconductor revenue surge as AI drives manufacturing demand

Chemical etching specialist, Precision Micro has seen semiconductor-related revenue...

Powering resilience in UK water treatment plants

From drinking water and sanitation to industrial processes, water...

Market Opportunity for Sensors in Humanoid Robots to Exceed US$6.59 billion by 2037

Humanoid robots are transitioning from conceptual prototypes to AI-driven...

Castrol ON PG25 cooling fluids validated for NVIDIA AI factory and data centre infrastructure

Castrol announced today that two of its direct-to-chip cooling...

Precision Micro sees semiconductor revenue surge as AI drives manufacturing demand

Chemical etching specialist, Precision Micro has seen semiconductor-related revenue...

Powering resilience in UK water treatment plants

From drinking water and sanitation to industrial processes, water...

Same Vacancy, Different Country: The Talent Gap Running Through Automa 2026

The 2026 Global Energy Talent Index, built on responses...

Leuze Sensor Technology Enables Safe Automation at SEW-EURODRIVE

RSL 400 safety laser scanners and other Leuze sensor...

Related Articles

Popular Categories