In this episode of the Tesoro AI podcast, we sit with Robin Toluie, a key figure behind PhysicsX, a company leveraging AI and machine learning to accelerate simulation and design processes across various advanced industries. They delve into Robin’s extensive background in both theoretical physics and high-stakes automotive engineering with leading companies like Mercedes AMG and Bentley Motors. They discuss the application of machine learning in optimizing vehicle designs, reducing costs through virtual simulations, and its broader implications beyond automotive—applying to aerospace, renewables, and medical fields. Robin highlights PhysicsX’s innovative use of large physics models and deep learning to replace traditional numerical simulations, driving faster and more efficient product development. They also explore the potential and limitations of AI-generated simulations, the role of agents in automating engineering workflows, and the exciting developments upcoming in the field, including the release of Airplane 2.0.
