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Anyone have any realistic ideas ??
kdub, I don't think it will help CAD production for a while. Right now it's about design. And really about design that has multiple good solutions; flexibility if you will. If you can code the design requirements into a rigid algorithm with all constraints known and one single solution, you don't need machine learning, just run the algorithm. It'll be way faster, cheaper and efficient.
If you have a problem with multiple good solutions, that's where the magic of ML will come in. So if the algorithm is 'loose' machine learning will run thousands/millions of iterations, while optimizing certain outputs. It comes up with stuff that doesn't make logical sense, but work. Some of the solutions will suck, and some will be really good, and appear to be creative because designers tend to limit themselves to what they know works.
The cool thing I think is, it would be possible to 'teach' the machine learning algorithm using a bunch of previous designs done by a human. At that point, it might be possible for ML to come up with designs that pull from previous designers experience, but still iterate and generate new solutions. Or once the ML algorithm is tuned, it'll just be faster. And if we can figure out how to use the thousands of existing drawings as a learning dataset, all the better.
My understanding is ML is being used to design airplane parts now. And I'd love to see it expand into other areas. I have ideas on how to apply it to my current area of design (landscape irrigation) but I haven't figured out the nature of the implementation. As I said in a previous post, just figuring out how to ask the question correctly is difficult.
Regarding AI, as far as I know it's not here yet, and would be a waste of time trying to develop it for CAD. Once/if AI shows up, all bets are off. It's not worth worrying about IMO. Anyone claiming to have achieved AI hasn't done a good job of reigning in their marketing dept.
