
"Siemens has a long history of trusted partnership with the U.S. government, supporting scientific leadership and industrial competitiveness. The Genesis Mission represents an immense opportunity to modernize the digital infrastructure that underpins scientific discovery and innovation. Together with DOE and partners, we can strengthen the connection between research and real-world deployment, accelerating innovation across industry and infrastructure."
"Siemens will provide industrial technology to support the Genesis Mission, chiefly bringing physics-informed simulation, digital twins, automation systems and secure infrastructure into a connected industrial tech stack. Other collaboration areas will feature interoperable, secure and industrial-grade digital infrastructure to help advance AI-enabled research ecosystems."
"Unlike other Genesis participants, such as OpenAI and xAI, Siemens will be supporting deep domain AI workflows rather than a model or single point solution, focusing on industrial-grade digital infrastructure and interoperable systems."
Siemens signed a memorandum of understanding with the Department of Energy to participate in the Genesis Mission, a government initiative designed to leverage U.S. high-performance computing infrastructure for artificial intelligence innovation. Siemens will contribute industrial technology including physics-informed simulation, digital twins, automation systems, and secure infrastructure to create a connected industrial tech stack. Unlike other participants such as OpenAI and xAI that focus on specific models or solutions, Siemens will support deep domain AI workflows. The initiative encompasses 24 companies collaborating across 20 government-identified critical fields including AI, quantum information sciences, and biotechnology, aiming to strengthen connections between research and real-world deployment.
#siemens-genesis-mission-partnership #ai-and-high-performance-computing #digital-infrastructure-and-industrial-technology #department-of-energy-initiative #physics-informed-simulation-and-digital-twins
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