“If you keep posing the problems in the same way, you will continually try to optimize around the same constraints” says Massimiliano Moruzzi, the Head of Cognitive Engineering and Business Development at Augmenta AI. Generative Design has found itself at automotive’s doorstep and is attempting to boldly transform the industry’s engineering. This might be weighted goal statements – in theory TRUE system requirements, which is another whole article - and the artificial intelligence looks for solutions without the compartmentalized, historical mental models of human behavior. These are unconstrained design tools where the user simply describes the problem they want to solve in the form of data, requirements and preferences. Now enters a new era of truly computer-aided tools tagged as “Generative Design”. Using such an artificial-intelligence-companion-slash-servant-slash-engineer that he nicknamed after his father’s chauffeur, Stark reimagined and tinkered with complex technology. Unless, of course, he only truly needed to create one invention that would fuel the remainder of designs: Jarvis. One man alone could not reimagine and create a multitude of inventions like that. A team of thousands of software and hardware engineers would struggle to deliver such output, thereby making Iron Man’s arsenal less believable than many of Marvel’s interplanetary societies and phantasmal artifacts. Yes, the original suit itself appeared relatively plausible, but eventually this one-man show was creating satellite-driven, autonomously assembling, personalized fighter jets with multimodal user interfaces and complex software. Those who watched the fantastical characters and stories created within the Marvel Universe over the past twelve years might have questioned the seemingly impossible amount of cool technology created by Tony Stark, the alter ego and genius behind Iron Man. There was a time where computers simply made drafting easier and contributed nothing of substance to.
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