Introduction: Artificial Intelligence the self-designing machine
Artificial intelligence the self-designing machine. Manufacturing is in the midst of a disruption brought on by technologies like artificial intelligence (AI) and 3D printing. “Additive manufacturing” has already worked itself into companies such as Porsche and Bugatti, and aircraft builder Airbus is experimenting with UAV THOR, a drone made entirely of 3D-printed parts.
Source: YouTube
“In an AI-driven generative design paradigm, humans input design goals and material parameters,” explains Avi Reichental, the CEO and founder of XponentialWorks (a venture investment, corporate advisory, and product development company specializing in artificial intelligence, 3D printing, robotics, and digital transformation). “The software does the rest—exploring nearly infinite design permutations based on existing design concepts. This includes designs that are stronger, lighter and use less material than would be used otherwise to save money, increase scalability, and raise efficiency while enhancing form and function.”
During this increasingly connected manufacturing process, the form and features of a product need not even be completed before shipping. With a little Internet access, products themselves are taking part in improving their own design long after they’ve left the factory. As a result, they can “phone home” changes to their own design to increase efficiency or overcome unforeseen challenges.
The rise of AI in Canada
As a result, human designers have seen their role begin to change: they are becoming co-designers of a product for its entire lifetime.
Manufacturing outside factory walls
AI devices were given the freedom to self-design, and eventually co-design, on the fly because no one told them their work had to be confined to an industrial setting. Design evolution became enticing without such a rule as taking manufacturing on the road became possible.
Source: YouTube
Occasionally, the self-improving loop will add to the design of the thing to upgrade its functionality and features. There are times, however, when it suggests a design change that will affect a real-time repair. The design of an AI-driven thing would be able to adapt to unforeseen circumstances, such as a robot breaking a leg or a vehicle blowing a tire or breaking an axle, and continue to work.
Robotic Surgery
The day is coming when manufacturing will become autonomous-a time when everyone can manufacture anything on a home 3D printer or a regional 3D printer by selecting base models from a store and adding customizations to them as they wish. The AI will soon allow customers to provide a general description of the design they want or the functions of a product that they would like to have manufactured. After this has been completed, the AI will then take care of everything else, including the selection of materials, the activation of supply chains, as well as the optimization of design and manufacturing.
When you’re presented with a series of things that all meet your needs or desires, it’s only natural to develop some preferences among them. It is with respect to preference that branding is important, in order to be able to locate the preferred made easily in the future. This may be why the AI-future for manufacturing may not look so different: “AIs could develop their own brands and fan bases,” as Schrauwen puts it.
Source: YouTube
Some people, however, do not think AI and distributed manufacturing will benefit little guys like this. Dartmouth’s D’Aveni agrees that AI-based generative design will promote additive manufacturing (which will in turn lead to a distributed manufacturing model closer to customers), but that’s it. The AI-enhanced software digitally optimizes production and supply chains, he said, so it is likely to encourage the creation of software platforms to coordinate and optimize manufacturing in general. D’Aveni concludes that this will result in a landscape dominated by giant pan-industrial corporations and networks rather than small businesses.
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Conclusion: Artificial Intelligence the self-designing machine
Artificial Intelligence the self-designing machine: Whoever benefits the most from AI, it is clear it will change manufacturing in every aspect, from design to production to business practices to tools themselves. As those changes slowly begin to mainstream in the near future, one thing is certain: your next co-designer may well be a self-designing machine with a few good ideas of its own. All you need is creativity.
