"Six layers of excitatory neurons color-coded by depth. Credit: Google Research and Lichtman Lab" (SciteechDaily, Harvard and Google Neuroscience Breakthrough: Intricately Detailed 1,400 Terabyte 3D Brain Map) Harvard and Google created the first comprehensive model of human brains. The new computer model consists of 1400 terabytes of data. That thing would be the model. That consists comprehensive dataset about axons and their connections. And that model is the path to the new models or the human brain's digital twins. The digital twin of human brains can mean the AI-based digital model. That consists of data about the blood vessels and neural connections. However, the more advanced models can simulate electric and chemical interactions in the human brain. This project was impossible without AI. That can collect the dataset for that model. The human brain is one of the most complicated structures and interactions between neurotransmitters, axons, and the electrochemica
In game theory, all organisms want to maximize their benefit. Game theory can used as a tool that makes programming learning machines easier than it has been. The idea is that the AI will get points for every correct answer. And when the AI gives the wrong answer, the system gets zero points. That thing allows the simple model, that is easy to program for computers. When the AI plays chess against people, it can have a system where each chess button has points. That allows the AI to model the game. The soldier can be one or two points. And the queen can be worth 1000 points. When the number of those chess buttons decreases, the system can get new numbers for those buttons. The winner of the game is, who gets more points, and loses fewer buttons. The lost button can decrease the points as the value of those lost buttons is. Image: Quanta magazine In classic machine learning models the computer selects the answers. That brings benefit to it for storing in its memory. But the problem ha