Even the smartest optics system recognitions requires even a little human intervention in order to be effective. But not the system developed by Brigham Young University scientists. The new algorithm is able to decide for itself whether what it sees in a picture it is important or not, while every time it perceives a new object it does not need any adjustment in order to recognize it. In addition, it is extremely accurate, and it can distinguish the slightest differences between similar objects - otherwise fish for example.
In essence, the way it works resembles the way the human mind works: He's learning on his own. So we don't have to teach him the differences between two objects. After seeing them once, he is then able to tell them apart.
The question is where could such a smart algorithm be used. The answer is "everywhere" it is enough to prove in practice that it does not make mistakes. The first thing that comes to mind is the army. Especially the US military has been using such systems for many years so smart defense systems can recognize enemy targets. In these systems, there is always a person who makes the final decision. Not anymore. Now the computer will decide on its own and launch missiles or bullets into the (alleged) enemy.
