The Turing Test for artificial intelligence, proposed by Alan Turing in 1950, is a test of a machine's ability to exhibit intelligent behavior equivalent to, or indistinguishable from, that of a human.
For any foot, the eekual AI learns to make a perfect fitting sneaker. After 10 iterations, it consistently achieves a better fit than that of a human shoemaker.
To our knowledge this is the only AI capable of passing the test in the physical realm.
To build this AI we invented a graphic coding language and wrote the requisite libraries.
The AI looks at the human body, understands its physiology, applies a fashion design, adds production details and instructs machines to make the product.
For it to learn, evaluation elements are embedded in the physical good. These are read to train system efficacy, product performance and customer satisfaction.
We hold a process patent that protects the power to train an AI in this way for any fashion product (granted in EU, pending in USA, Japan).
AI uses existing consumer data streams (ex. search engine analytics, social media feeds, retail stats) to generate digital products for sale to individuals.
If the individual does not buy, it learns.
If they buy, it learns and makes the product.
From the products made, it learns about human physiology, product performance, and efficacy of the production platform.
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