Racing Bulls to use AI technology to optimize aerodynamic performance
Formula One's Faenza-based F1 outfit, the Racing Bulls have announced that they will use AI technology to optimize aerodynamic performance of their F1 cars.
Racing Bulls has deployed Neural Concept, an AI platform for engineering design to accelerate the team’s car design and optimize aerodynamic performance through AI-powered, data-driven engineering workflows that enable faster design iteration and better-informed decisions.
Neural Concept’s proprietary Engineering AI platform complements traditional Computational Fluid Dynamics (CFD) with high-speed predictive simulations.
Engineers can use digital twins to evaluate thousands of design variants across complex “multi-physics” environments that mimic real-world track conditions such as wind and temperature differences.
The Italian outfit has revealed that the new technology will enable it "to explore more designs, unlocking new performance gains within every iteration."
Commenting on the new technology, Racing Bulls' team boss Laurent Mekies noted: “In Formula One, every millisecond counts and innovation at the design stage can be the difference between leading the pack or falling behind.
"By integrating Neural Concept’s cutting-edge Engineering AI into our aerodynamic development, we’re unlocking new levels of speed and precision in our design process. This partnership allows us to explore more design variants, ultimately giving us a competitive edge where it matters most.”
Reflecting on the collaboration with Racing Bulls, Pierre Baqué, who is the CEO and co-founder of Neural Concept, stated: “Formula One is the ultimate proving ground for Engineering Intelligence—where engineering decisions are pushed to their limits and every performance gain counts.
"At Neural Concept, our mission is to revolutionize engineering with deep learning and unlock a new symbiotic collaboration between human expertise and AI’s analytic speed and power.
"This partnership with Visa Cash App Racing Bulls demonstrates how AI-driven design workflows can turn weeks of iteration into days, helping teams move faster, explore further, and stay ahead in the most competitive engineering environment on the planet.”
