The AI and brains can learn from each other. The learning processes of the neural networks can model how to make learning more interesting and more effective. And there is a couple of theoretical models of how to make new teaching and learning processes. One of the most interesting things is the memory transplant. That thing happens by transferring trained neurons in the human brain.
Brains are learning and morphing neural networks. They can make many things. We can use brains as the model for how to control and program things like drone swarms. Programming the drone swarm can happen through one drone. The new skills will program into one drone. And then the skills that this precise drone has can scale through the entire drone swarm.
So that model means that there is a possibility to transfer skills to brains simply by using trained neurons. The new information will transfer to neurons that will connect to the human or animal brains. And then those skills should scale through the nervous system of the human brain. That thing is one of the most interesting visions about the new type of learning process.
The fact is that also brains are the neural network. And that means the information that the things like network-based solutions like drone swarms can use to make the models of the learning process of the brains. And the brain can give information on how to make new and effective ways to create morphing and learning networks. The fact is that we all have a quantum computer with us.
That quantum computer uses 25W per day and it's called the brain. The thing that makes the human brain so powerful tool is a large number of neurons. The human brain is starting to compute in multiple places. And that makes them very effective. The processes of how brains are eliminating the wrong decisions and errors are also interesting to neurologists.
It's a theoretical possibility that someday researchers can make a quantum computer with 200 billion states. That thing is possible because the quantum computer might have thousands of data handling lines. And there are thousands of quantum subsystems.
So there is a possibility that someday there is a quantum computer that has so many states as brains have neurons. The fact is that in the brain neurons act as a couple. The sender and receiving neurons are the thing that has the same role as the superpositioned and entangled photons or other particles in quantum computers.
The fact is that not only the number of neurons but also how we use them affects the IQ. The activity of synopsis is the thing that makes the person intelligent. So the sequence of synapsis activity has a similar effect to the clock frequency in regular computers.
Active synapsis means that the brains are handling data faster than in the cases of passive synapsis. The thing is that the brains are morphing and learning networks. As I wrote at the beginning of this text. The thing is that the learning process starts from a single neuron. When one neuron learns a new trick. That means that the thing that neurons learned will scale through the neural network.
Image) https://scitechdaily.com/gene-editing-a-factory-reset-for-the-brain-to-cure-anxiety-and-excessive-drinking/
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