"Unlike language, where we don't have mathematical models to describe what the next word should be, when it comes to physics, we do have those models. And what we're seeing is that machine learning is actually quite good at computation, not just pattern recognition," said co-founder Darren Garvey.
"For a designer, they put a lot of thought into what might work, then they run a simulation. Then they come in the next morning and they've got the results. Either it did what they wanted or not, and they have to go through this loop a few more times. Then you take it to the wind tunnel," Garvey said - and the wind tunnel may well not agree with the simulation, so it's back to the drawing board.
"Beyond Math's goal is to accelerate the digital design side, which means shortening the delay between having an idea and finding out whether it is likely to work."
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