The Race tech show brings on Pierre Baqué, CEO of Neural Concept, the AI engineering platform that Racing Bulls uses to speed up aerodynamic development. Baqué explains how his company's machine learning tools complement traditional computational fluid dynamics workflows—essentially teaching computers to predict airflow patterns faster than physics simulations alone. The pitch is efficiency: teams can run more iterations in less time, crucial under the cost cap. Host Edd Straw walks through how the software fits into an F1 design cycle, from initial concepts to correlation with track data. Gary Anderson previews the technical demands of Sepang's return—high temperatures, long straights, and the cooling challenges that come with Malaysia's humidity. Anderson also fields listener questions on Red Bull's tire degradation struggles, whether teams still track individual tire compounds session-to-session, and if qualifying party modes still exist in the era of parc fermé power units. Listen if you're curious how AI is reshaping F1 aerodynamics or want Anderson's take on the Malaysia layout.
Read the full story at The Race F1 Podcast
