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The next-generation general-purpose artificial intelligence is here.

New highly accurate machine learning can separate compostable from conventional plastic. But it can make many more things. The new artificial intelligence is a so-called general-purpose tool. The AI is the platform that can use in multiple missions. 

The user of the AI just teaches the new things to the system by downloading the new module to it or creating that module by using their programming tools. The AI can detect recyclable carbage, or it can sort birds by species in databases. And the same AI platform can show things like hostile missiles from satellite images. 

Learning AI is an interesting- and multipurpose tool. The same algorithm that can separate metal, or like in this case: compostable plastic from conventional plastic from other garbage can use to separate cancer cells from normal cells. The same algorithm can separate enemy tanks and vehicles from forests. And this means when people are making new AI software they must realize that all these kinds of systems are multipurpose tools. 

The idea of learning algorithms is that the algorithm is always the same. But the users can teach that thing different things. So the AI itself is the GP (General Purpose) software. It's a platform that can learn new things. And it's possible to connect new modules to the AI algorithm. 



So this kind of algorithm can use to calculate birds and sort them to databases by species. That means the algorithm recognizes birds and their species from images. And then it drives that data to the database. The algorithm can also calculate other animals and help the authorities calculate the hunting permissions. 

If the AI analyzes images that the system still can use to separate speakers from each other. The system connects itself to the programs that use a graphical introduction of the sound. And then it can find similarities in the sound curve. These kinds of systems are extremely multipurpose. And the data can be driven to the system by using a webcam that is pointed to the screen. 

The same algorithm is used to separate non-recyclable garbage from recyclable can loaded onto aircraft, combat helicopters, or drones. That system can warn pilots about the birds and other aircraft that are at the aircraft's route. And if that AI has access to communicate with the aircraft's autopilot it can make the evasive movement. 

The AI-based algorithm can also calculate military insignia from the enemy tanks and clothes. It can make a profile of the troops in the mission. That helps to predict how important some target is for enemy troops.  And it can use to separate enemy combat units from bushes. That algorithm can also use to separate enemy aircraft and hostile targets from radar and infrared images. And AI is a cheap tool. If the algorithm is ready it can download to systems like Javelin missiles. That helps the missile to select the flight trajectory that has the most powerful effect on the target. 


https://scitechdaily.com/very-high-accuracy-machine-learning-helps-separate-compostable-from-conventional-plastic-waste/

Image: Jerusalem Post

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