Innovative simulation and test solutions for trustworthy data-centric AI

Trustworthy AI begins with trustworthy data. Discover how Siemens and KU Leuven are performing research along this line, aiming to enable trustworthy data-centric AI for engineering applications. We consider the rich variety of engineering data, from modeling and simulation to test data acquisition, throughout product design and validation up to real-world operation. Check our blog to learn about our research towards trustworthy data-centric AI, together with KU Leuven in the frame of our research project SATISFY.AI, with support from the Flanders Innovation & Entrepreneurship Agency (VLAIO).

Optimization workflow for hybrid-electric aircraft using multi-physics simulation, co-simulation, and safety analysis for efficient, resilient design.

From menu to meal: Cooking up a safer hybrid-electric aircraft faster

The skies are changing for the better! Hybrid electric aircraft are revolutionizing air travel, blending electric efficiency with traditional power for a sustainable future. Expect quieter flights, fewer emissions and a giant leap towards eco-friendly aviation. This isn’t just innovation; it’s the dawn of a cleaner, brighter era for how we fly!

ML for Industrial CAE – “Just scale it”

By scaling up ML, engineers can more quickly iterate and optimize their product design, thanks to faster simulations. ML can speed up traditional methods, which makes it easier to integrate their capabilities within established company software and processes. Read about our ML engineering innovation journey in the frame of the research project ML4SIM!

Figure 2 - UD tape TECHNYL Lite C118 T130 C60 (©DOMO)

Lightweighting by engineered composite materials, manufacturing and performance

Building bridges with simulation The development of new products increasingly demands the use of novel materials crafted through advanced manufacturing…