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DateDate: 20-07-2019, 06:30


 Personal non-property and property rights for the invention belong to the author and protected under current legislation.
 The innovative idea is that the shoes may change its size and functionality through a process of blowing air in her special chamber. 
 Some examples already, but in our case increases the functionality and ease of use. The structure of this Shoe has multiple chambers for pumping of the air - chamber to the upper part of the shoe and camera to the soles. Thus, it is possible to increase and reduce the size of the shoe, the softness or the hardness of the soles. Pump for pumping air is built in the shoes or separately. The pumps also have a number of distinctive functional features - they can work from batteries and from the power supply, and also by the mechanical action. It depends on the pricing and marketing policy for this product.
 But the most basic functionality of the inflatable shoe "Innovator" is a special mobile application that configures and monitors all of the foregoing processes in Your gadget. The application has the ability to set parameters of use, this shoe - running, lightweight walking, outdoor sports. Also, not unimportant enough, the program itself evaluates weather conditions (rain, frost, sun) and gives advice on the mode of use of the shoe. Or , by default, configures all by itself. It is very convenient during normal use, it quite comfortably fits the foot. For medical purposes essential it can be for people who suffer from flat feet, or other diseases of the feet and toes of this kind. It can also monitor a mobile app, when You enter the required parameters. It is easy to understand that inflatable shoes "Innovator", with air layer will be warm enough.
 The idea is open for investment and complete its foreclosure.
 +380505238948 

DateDate: 20-07-2019, 06:25

The technology of classical convolutional neural networks - or as they are also called cCNN - is the main base of algorithms and scripts, thanks to which various neural networks can analyze visual information, correctly process it and fill in the missing fragments. Being a technology that is fairly common at all levels, it nevertheless has a number of significant limitations that do not allow it to be called truly effective and useful in applying it in really complex tasks. For example, in the processing of visual information for artificial intelligence of autonomous cars or forensic neural networks.
It is for this reason that Till Hartman, a talented neuroscience researcher who is a professor of neuroscience at Harvard University, decided to somewhat improve this neural network technology, making it more human-like. In the sense to teach it to think and visualize the space in the way that the human brain does - after all, filling in the missing visual information often takes place under imperfect and often problematic conditions.
He drew attention to how the visual cortex functions, noting its reverse-direct type of visualization and processing of visual information. Joining with the software engineering team, he managed to present so-called recurrent convolutional neural networks that almost completely repeat the process of processing and perceiving the visual information of the human brain, thus filling the empty logical space of the existing display much more efficiently.
Moreover, these CNN reflexes have a truly ambitious level of work, even under the most disturbing circumstances and conditions - for example, the new system of neural networks was tested to determine how well it can complement the blurred image, which it coped well after a few seconds of analysis.