Capgemini Engineering’s Post

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The convergence of scientific computing and engineering is accelerating innovation like never before. That’s why Capgemini is proud to collaborate with Wolfram to create the co-scientist framework - an intelligent assistant designed specifically for the rigor and precision that engineering and scientific domains demand.   At the heart of this collaboration is a shared belief: Generative AI is transformative only when it’s grounded in scientific accuracy, auditability, and domain reasoning.   Unlike conventional language models, the co-scientist computes, verifies, and synthesizes it. Imagine asking it to simulate the thermal behavior of a new material or optimize control logic for a complex mechatronic system and receiving not just suggestions, but precise equations, dynamic models, and verifiable results.   This is Hybrid AI in action; combining the fluency of generative models with Wolfram’s powerful symbolic computation and curated knowledgebase. The result? An AI co-pilot that enables traceable decision-making and unlocks new possibilities across aerospace, automotive, industrial automation, and more.   Together with Wolfram, we’re bridging the gap between natural language interfaces and the exacting world of scientific computing empowering engineers and researchers to design more confidently, innovate more responsibly, and solve the hardest problems faster.   🔗 Learn more about how Capgemini and Wolfram are engineering a better future: https://lnkd.in/gvWEymaf   #HybridAI #AugmentedEngineering #GenerativeAI #EngineeringInnovation #Capgemini #Wolfram

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Paul Nokes

Global Head at Hybrid Intelligence and D&AI

1w

With this collaboration and wolfram's curated knowledge base, the team are accelerating the the ability and benefits of domain specific co-scientists.

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NURUL HASSAN AHMED

Network Engineer at Wipro Infotech

1w

Congrats! 🎉

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murali Achanta

Angular Developer at 9th PIXEL

1w

Congrats! 🎉

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