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The neuroscientists get a new tool, the 1400 terabyte model of human brains.

"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
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Game theory can make machine learning more effective.

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

AI is the tool, that revolutionizes the medical industry.

"Researchers are investigating bacteriophages, particularly “jumbo” phages with large genomes, as potential tools to combat antibiotic-resistant bacteria. These phages might be engineered to deliver antibiotics directly to infections, offering a new strategy in the fight against deadly pathogens." (ScitechDaily, When Giants Fight Microscopic Wars: Jumbo Viruses Tackle Superbugs) Jumboviruses can act as nanomachines that carry medicals in the right cells. In that case, the researchers can replace giant viruses or jumbo viruses DNA using the long-chain proteins. The system can pump those proteins into the targeted cells.  The AI is an ultimate tool to control complicated molecule production. The next-generation AI-powered environments are tools that can make breakthroughs in medical work. The long-chain molecules are themselves good tools for medicines. The protein can fill targeted cells. And that makes new types of medicals possible. The only problem is this: how do make sure

Intelligent cities are not just good or bad. They are both.

Are we ready for the next step in artificial intelligence? That step can be the intelligent, AI-driven city that can predict anything that people do. We must remember that the system can make people's lives easier. But it is a tool that allows it to break people's privacy.  Another thing is that our society requires reform. We must handle things like climate change and overpopulation. Intelligent technology is one of the solutions for handling energy use. And make people's life easier.  There are good and bad things in intelligent cities. The idea of AI-driven cities is those things are more effective. And make life easier than it is now, and the idea comes from the individuals. The AI-driven houses or flats adjust their energy use following the owner's day rhythm.  When a person goes to work, the intelligent house will decrease its temperature. While humans are at work, the system will clean the house using robot hovers. And when people come home the system will raise

Researchers at MIT developed an AI that can predict human behavior. (Can this mean that we turn Isaac Asimov's psychohistory into reality? )

    Can this mean that we turn Isaac Asimov's psychohistory into reality?  The idea is similar to the mathematical psychohistory that novelist Isaac Asimov created for his fictional "Foundation" novel series. The idea is that the computer can predict people's behavior by benefiting Boltzmann's natural gas formulas created by Ludwig Boltzmann.  If we connect MIT's AI model to the systems that handle things like oil molecule behavior in that model the humans would be molecules for the system. And the system must only know which part of people acts following the same rules.  So if the AI can predict some person's behavior, it can predict the entire nation's behavior. The system must just make the data matrix of all individuals. And then see how most of the people will behave. The system is simple, but it requires lots of information.  The idea is to use the statistics about the behavior of the people. Then the system can use those statistics. Or databases

Black holes can be almost invisible.

"The location of the first three black holes discovered by ESA’s Gaia mission in the Milky Way. This map of our galaxy was also made by the Gaia mission. Gaia Black Hole 1 (BH1) is located just 1560 light-years away from us in the direction of the constellation Ophiuchus; Gaia BH2 is 3800 light-years away in the constellation Centaurus; Gaia BH3 is in the constellation Aquila, at a distance of 1926 light-years from Earth. In galactic terms, these black holes reside in our cosmic backyard. With a mass of about 33 times that of the Sun, BH3 is the heaviest black hole of stellar origin discovered in our galaxy. Credit: ESA/Gaia/DPAC" (ScitechDaily, Scientists Surprised by Sleeping Giant – Most Massive Stellar Black Hole in Our Galaxy Found Lurking Nearby) The most massive stellar black hole in our galaxy lurks nearby.  The most massive stellar origin black hole is at a distance of about 1926 light years from the Earth. The black hole is about 33 times as  massive  as the Sun. An

Breakthrough in the brainwave research.

"UC Irvine researchers have discovered that crucial brain waves for deep sleep, previously believed to be generated only by a specific brain circuit, also originate from the hippocampus, offering new insights into memory processing during sleep." (ScitechDaily, Researchers Discover New Origin of Deep Brain Waves) Researchers found the origin of the deep brain waves. That thing is in the special brain circuit in the hippocampus. Those deep brain waves are crucial for the brain. So they can fall into deep sleep. The brain needs also deep sleep because it helps to fill neurotransmitter storages. There can also be some kind of dreams in deep sleep period. But in that case, the memory is completely turned off.  That's a sad thing because while a person sleeps, the brain is in the most productive mode and the problem is how to turn that productivity into the thing that benefits society and individuals. The brain-computer interface can make images that researchers can see on a c