AI for Engineering | Keynote Prof. Dr. Georg Jacobs, RWTH Aachen | 3DEXPERIENCE Conference 2026

Today, engineers must develop products with high complexity in a short time and with a limited R&D budget. Product complexity is often determined by system architectures that include models from various domains such as mechanical engineering, electrical engineering, control engineering and software engineering. These models are largely based on physical equations. A complete system model, which serves as a digital twin, is a complex network of physical equations and parameters. AI agents can enable access to this enormous source of formalized system knowledge. This allows the effects of innovations and technical changes on product behavior to be determined immediately. Engineers receive detailed information from AI when requirements are violated or product characteristics are negatively affected.AI for engineering can help engineers to focus again on technical solutions an innovation. Keynote: “AI for Engineering” by Prof. Dr.-Ing. Georg Jacobs, RWTH Aachen University, IMSE – Institute for Machine Elements and Systems Engineering, at the 3DEXPERIENCE Conference 2026. He explores how AI can leverage the knowledge embedded in complex digital twins to help engineers assess technical changes faster, identify potential requirement violations and accelerate innovation in product development. Find more information on the 3DEXPERIENCE Conference website. https://myevents.3ds.com/3dexperience... 🔔Don’t forget to subscribe:    / @dassaultsystemes   🔔Dassault Systèmes official website: https://www.3ds.com/ 🔔Learn more about what Dassault Systèmes do: https://www.3ds.com/about/company/wha... 🤳 Follow us! 🤳 💡LinkedIn:   / dassaultsystemes   💡TikTok:   / dassaultsystemes   💡Instagram:   / dassaultsystemes   💡X:   / dassault3ds   💡Facebook:   / dassaultsystemes   #3DXConference26 #3DEXPERIENCE