Formula One teams are looking at a startup called BeyondMath to bring their car construction to the next level.
BeyondMath is working in the field of computational fluid dynamics, which attempts to digitally model how an object moves through water or air. But that’s a lot easier said than done – even with excessive computing power, these digital representations of complex physics are not wholly accurate. What makes BeyondMath different is that it’s simulating windy conditions by using machine learning, not just supercomputers, which could make these models more accurate.
BeyondMath co-founder Darren Garvey told TechCrunch, “Imagine you’ve got six months to design a part for a plane. Given that a simulation takes so long, you might get 20 attempts to try things out. But if a designer thinks of an idea and gets results within seconds or a couple of minutes, in that same six months you might be able to run a million changes.”
On today’s TechCrunch Minute, we’re explaining why professional race car teams are eyeing this startup’s technology to make their vehicles more aerodynamic.
