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JuliaHub s'associe à Synopsys pour réaliser des jumeaux numériques basés sur SciML
Prnewswire· 2025-11-20 04:39
Core Insights - JuliaHub has announced a strategic partnership with Synopsys to integrate its Dyad platform into Synopsys's Ansys TwinAI software, enhancing AI-driven simulation capabilities [1][10] - The collaboration aims to combine JuliaHub's expertise in AI-informed physics simulation with Synopsys's digital twin technology, accelerating innovation and improving design accuracy [1][4] Company Overview - JuliaHub specializes in AI-native simulation and modeling, focusing on scientific machine learning (SciML) and digital twin modeling across various sectors including pharmaceuticals, aerospace, and automotive [6] - Synopsys is recognized for its reliable simulation ecosystem and is integrating Dyad to enhance its TwinAI software, which supports advanced simulation engines and cloud deployment [5][6] Technology Integration - The integration of Dyad will enable TwinAI to create hybrid digital twins that are predictive and based on physical laws, enhancing the accuracy of simulations [3][4] - Dyad's capabilities include causal modeling and automatic equation generation, facilitating the design and scaling of complex multi-domain systems [4][7] Future Developments - Upcoming versions of Ansys TwinAI will progressively incorporate Dyad features, with more details to be announced [5]