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DateDate: 9-09-2019, 06:01

 Personal non-property and property rights for the invention belong to the author and protected under current legislation. 
 According to statistics, every year will increase the share of purchases via the Internet. Yes, and rightly so as it is much easier and faster to choose and order a particular product, the more profitable price conditions. But there is one problem with Internet shopping. Maybe even not at all, at first glance, it is not noticeable.. But in the process of using purchase we will encounter. Below describe it and the way to solve this issue.
 Now, the problem is that when we made a purchase at a particular online store, we often can forget in which, as a product we are satisfied. But in the process of using this product may experience a number of problems associated with their breakage or repair or replacement under warranty. And given the fact that the number of such purchases is growing, we really can lose all the contact details of the online store where and when was made the corresponding purchase.
 In this author's idea proposes the creation of an Internet platform, which will archive all of our Internet purchase to the automatic mode, namely to remember the name of the product and the online store, the date and method of delivery, payment and warranty obligations. As a separate service, the platform will have an extensive search engine through which you can search for the desired product at the most affordable and reasonable price.
 How this will work - for example, searches for his purchase of a smartphone. The search engine puts the smartphone model and your purchasing budget. Mobile shopping apps archiving "Innovator" gives one of the most profitable option. Further, if the user approves the proposal occurs online order with the relevant conditions of the online store - that is, all standard procedure. But this mobile app leaves in memory the whole process of this purchase. And if it is necessary to remember that the buying process after some time, then quite simply you will enter in the internal search product problem and get the appropriate response. 
 The functionality of the application can afford not to look for a particular product through its search engine. But archiving is available automatically during the checkout process, you will only need to download the appropriate mobile app on your gadget. Also the mobile app will remind the user about the warranty already purchased goods in order that the user can understand all future operational capabilities. 
 Given that any buyer would be interested in archiving their processes of purchases, the audience of the use of this mobile application is expected of a global nature. That is, given this factor, any shopping Internet site will be interested in registering their trading opportunities platform mobile trading application archiving "Innovator".
 This idea is open to investment, and for its full redemption.
 +380505238948

DateDate: 9-09-2019, 05:56

Artificial intelligence was used to analyze digital X-ray images of the Ghent Altar, which is located in the Catholic Cathedral of St. Bavon in Belgium. Researchers note that AI findings will help improve understanding of the details of art masterpieces and will open up new possibilities for the study and preservation of artwork.
By analyzing complex x-ray images, the new algorithm allows art critics, museum keepers and scientists to better understand the paintings, and the information received can help specialists protect and restore fragile objects.
X-ray images are a valuable tool for studying and restoring paintings, as they can help establish the state of the work and give an idea of the artist’s technique, the researchers noted.
“We would like to see how the development of similar approaches focused on artificial intelligence will affect our ability to detect hidden features in the picture that people have not noticed,” they added.
Helen Dubois, project manager for the preservation of the Ghent Altar, noted that “using artificial intelligence to process X-ray images will provide very useful tools for decoding complex technical images. The structural defects of wooden supports, as well as layers of soil and paint can now be diagnosed with greater accuracy.
Source: hightech.fm