We received a big deal from Canada this week and the engine which we built for Zenvus Yield is being licensed to power a product for a Canadian firm. When we engineered the Zenvus Yield, we used the most minimalist componentment and firmware to build something at the least cost possible while improving our computational model. It was built originally for agriculture but applications are expanding to other industries.
The gradient descent algorithm was the core of a patent I filed as part of my PhD. With that algorithm, I sought for first-order iterative optimization to determine a local minimum of a differentiable function, and in the process improve the system. You can see the camera here.
That camera was created from scratch and it works in poor light with processing capabilities that do better than some expensive phones.
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