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Researchers can use AI-driven video games to test machine learning.




Statistics-based machine learning is quite easy to make. 


AI playing video games is a big deal because those systems can used to create machine learning. The virtual environment is an excellent place to develop AI and its ability to learn things. The screenshot above this text is from the sniper game on the Y8 homepage. In that type of game, the AI can observe the direction in which the gamer moves. 

The machine learning base is in statistics. The system makes a database about the mover's directions. Then the AI opponent will use those statistics to aim the gamer. Those statistics are the tool that will make the AI an ultimate opponent. 

But that is the biggest weakness of this kind of statistics-based algorithm. There is the base model about the direction where the gamer wants to move. Most gamers will turn in a certain direction. Because they are right-handed. Left-handed people are better, especially in martial arts like boxing. The reason for that is that the punch comes from the wrong side. If the opponent is right-handed. 

If the opponent gamer is left-handed the system will make the wrong estimation about the direction where the gamer moves the character. Most people are right-handed. And most right-handed people follow certain formulas to select the way, where they want to move their character. The left-handed person thinks oppositely to the right-handed people and that means the AI aims in to wrong direction.


The next-generation autopilot parking systems. And use of virtual reality (VR) to test AI-based autopilots. 


The drone connected to the next-generation autopilot allows the AI can drive the car into the parking very effectively. The drone can be in the box on the roof of the car. When autopilot drives the car to the parking, the drone will rise above the vehicle, and then the autopilot can use that drone's camera to see, where the car's corners are going. 

Computer games can used to test how fast people can learn. The game is a virtual environment. And it can used for many purposes. The virtual space allows the testing of self-driving car's visual observation systems. The car can be on rolls, and the system uses interactive movies to introduce different situations for the car. The system can use media projectors to make the VR environment. 

The system follows the car's and its autopilot's reactions when its camera system sees something, like a moose that suddenly comes to the front of the car. In those cases, the vehicle's camera system drives information into the AI-based autopilot. During the R&D process, the developers can control the vehicle's digital twin in the real world. in that process system collects data for autopilot's program. 

Then collected data will first be stored in the autopilot system that is in the VR room. There is a safe environment developers and AI adjust the system so that it will be as safe as possible. 


https://bigthink.com/the-future/why-ai-playing-video-games-is-a-big-deal/

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