AI and CRISPR are the ultimate combination.
AI and CRISPR are the ultimate combination. AI-based systems can search DNA and RNA at extremely high speed. So that allows the AI can search for certain genomes or even base pairs. The system can select certain types of people. Like Albert Einstein and some other great scientists then AI can detect. If certain base-pair frequencies connect the genomes of those people.
When we want to search the genome sequences. That control the advancement of the nervous system, we must only find the DNA sequences that cells don't read very often. The most rarely needed DNA sequences that used most rarely involve the data that control's advancement of the nervous system.
The information about the position of the base pairs in RNA and DNA makes it possible to make cloned neurons. Those cloned neurons can use to create bio-hybrid microchips. Bio-hybrid microchips are the tools that give computers and robots the same abilities as the real brain.
The AI-based nanotechnical systems allow to create precise RNA targeting and gene modulation. RNA targeting means that the system can create precisely made artificial RNA molecules. Precise RNA targeting makes it possible to manipulate the genomes as much as possible.
When biological systems manipulate genomes. They must put the right base pairs in precisely the right points. When the system injects that precisely created artificial RNA into the cell that RNA injection reprogrammes the cell. The cell can turn the RNA into DNA.
Precise gene modulation can make a revolution in everything. Genetically modified cells can produce medicines and fuel. They can use to create cloned neurons and artificial skin. Genetic engineering allows to transfer of the genomes that make skin cells photosynthetic. And that is one of the most interesting points of view in genetic engineering. The chlorophyll molecule makes skin green. That thing causes the human with green skin can produce vitamin C and sugars in their own body.
"Researchers have developed RNA-based predictive models that use artificial intelligence to determine the on- and off-target activity of CRISPR tools that target RNA rather than DNA. The model is designed to facilitate precise control of gene expression, which could revolutionize the development of new CRISPR-based therapies". (ScitechDaily.com Artificial Intelligence Meets CRISPR: The Rise of Precision RNA-Targeting and Gene Modulation
The Google quantum computer is 47 years faster than the fastest supercomputer.
The superiority of the quantum computer is seen in the tests where the Frontier supercomputer took a race with a quantum computer which is faster to crunch numbers. In that test, the top supercomputer tried to solve calculations that would take 47 if the user uses the binary computer.
The quantum computer with 70 operational qubits crunches the same number series in seconds. This is a thing that we must realize. The problem in quantum systems is error detection. The superiority of quantum computers means that only another quantum computer can check those calculations.
But when quantum technology comes more common that means more and more people involving the R&D work of quantum computers. And that thing makes it possible to create cheaper and more trusted quantum systems than we ever imagined.
So what happens if the quantum computer runs the AI? This is the thing that could make AI a more powerful tool than we ever expected. But at this point, we must realize that AI is a tool like some drilling machine. We should remember that when we are using the AI.
To create answers. The AI uses information that is created or collected by humans. Even the best AI or humans are in trouble if the information that the system is wrong. But if the system can harvest information. That is confirmed and right which makes it superior.
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