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DateDate: 25-09-2019, 05:56

 Personal non-property and property rights for the invention belong to the author and protected under current legislation.
 Introducing a brand new kind of musical entertainment in the form of a mobile application, and systematization of existing examples. The name innovation network "MUSEOKE" coined following the example of popular music styles KARAOKE.
 In the title you can understand a rough meaning. 
 Very often we are listening to a particular song, you can hum or sing in their own way and with its intonation. Unable to insert the words, the verses. Can completely change, as sometimes entertainment programs do actors and singers, taking into account the present or given the retro.
 This new mobile app allows this direction to organize and present it in mass use like new music and entertainment innovation. The meaning and functionality looks like - a large catalogue of songs the user of this startup can select any composition. Then he selects the musical genres in which the song is automatically selected, after the command is arranged and played. And Vice versa - select the ringtone, and it automatically placed the words in the style and genre previously chosen by the user. Also helps for the music app, it is possible to add key words or phrases that should sound in the new song. 
 Also, according to the principle of communication in social networks, will have the opportunity to share new tunes or put the job to their friends to create a new song using the original text assignments. And of course, to put new songs on my tape of musical masterpieces, will be called the news, listen to them and assessment. Over time, will be connected automatic overlay of the video created for the song.
 That is, startups presented opposite the KARAOKE functionality, and now where you can rewrite the song in their own way in the automatic mode, without disrupting existing copyright rights to it. Show them on a shared display and to arrange the ratings, conduct on-line listening and even arrange interactive group performances.
 Can be described by functions that are not fully discloses the idea, but novelty and innovation component will be quite promising and popular. 
 This idea is open for its investment and for its full redemption.

DateDate: 25-09-2019, 05:51

Can artificial intelligence develop and become more complex if competitive conditions are created for it, such as those in which life has been since its appearance on Earth? Will natural selection tools work for him in a virtual environment? These questions were asked by scientists at OpenAI, a nonprofit research company engaged in artificial intelligence.
Scientists have conducted an amazing experiment with artificial evolution. They created a virtual space, populated it with self-learning bots and made them play hide and seek again and again. A total of about 500 million rounds of the game were held. Over time, scientists began to notice that AI itself develops various strategies and learns to counteract the techniques developed by other bots.
At first, search bots (hunters) and hiding bots (victims) simply ran around the game space. But after about 25 million games, the victims learned to use boxes to block the exits and barricade themselves inside the rooms. They also developed a strategy for flocking behavior, which allowed them to work together and transfer boxes to each other, quickly blocking exits from predators.
In response to this, after about 75 million games, predators learned to get around barricades, move and use ramps to overcome obstacles.
After 85 million games, the victims learned to take the ramps with them and hide them inside their “fort”, depriving the predators of a valuable tool.
According to OpenAI's Bowen Baker, all of this is one of the most amazing examples of how evolutionary natural selection tools work in virtual space. “As soon as one team learns a new strategy, this creates pressure on the other team, forcing it to adapt. This is an interesting analogue of how humans evolved on Earth, where there was constant competition between organisms, ”says Baker.
The development of bots did not stop. At some point, they learned to use vulnerabilities and bugs in their virtual world. For example, victims learned to get rid of dangerous ramps forever by pushing them through wall textures. According to scientists, this suggests that artificial intelligence can find such solutions to complex problems that people would not even think about. And this also means that, in case of an unforeseen situation, it will be much more difficult to restrain an out-of-control AI than it might seem to us.