F1 teams are turning to a startup called BeyondMath to help take car manufacturing to the next level.
BeyondMath works in the field of computational fluid dynamics, which digitally models how objects move through water and air. But this is easier said than done: even with massive computing power, digitally representing complex physical phenomena isn't completely accurate. What sets BeyondMath apart is that it uses machine learning, as well as supercomputers, to simulate windy conditions to improve the accuracy of its models.
BeyondMath co-founder Darren Garvey told TechCrunch: “Imagine you have six months to design an airplane part. Simulations take so long that you might only do 20 attempts. But if a designer can come up with an idea and deliver results within seconds or minutes, they could potentially make a million changes in that same six months.”
In today's TechCrunch Minute, we explain why professional race car teams are turning to this startup's technology to improve their vehicles' aerodynamic performance.