When we develop deep-learning networks, we collect information about ourselves.
Deep-learning networks are the tools that can make almost everything. When the deep-learning network is connected with things like video games That thing can used to create and develop new tactics for the business and military worlds.
However deep learning networks can collect information from anything that it can sense. The system can use three layers. That thing makes the deep learning network operate like the human brain. Those layers are like layers in the brain.
And that makes the AI a very effective tool. The most out layer brings information into the system. Then the middle layer selects information that the system should save. The most in layer is the thing where that new information table will networked with other data tables.
In this case deep learning network has a three-layer, modular structure where all parts of the deep-learning networks form independent structures or segments that can operate separately or independently making the network operations more effective. And that struture denies the stuck of the entire processing system. If there is a stuck in one segment, the system can call another segment to help, and that releases the stuck segment. This structure denies the escalation of the error very effectively.
"A groundbreaking study by UCLA scientists has for the first time mapped medium and high-entropy alloys in 3D, revealing their unique combination of toughness and flexibility. This advancement could transform the way alloys are engineered and utilized. Credit: SciTechDaily.com." (ScitechDaily.com/From Blacksmiths to Beamlines: 3D Atomic Revelations Transform Alloy Engineering)
Deep learning networks. Advanced photoacoustic systems can revolutionize nanotechnology and biotechnology.
In biotechnology, the key element is how to dump DNA into cells. The electric eel's electric shock can give nearby organisms new genomes. And that can benefit the systems that should transfer large numbers of the DNA into cells. Another thing that the AI can do is to find out what certain DNA sequences make.
That thing can happen by following the behavior of a certain group of animals. If there is some kind of anomaly in behavior, the DNA test can uncover if there are some kind of genetic mutations in that individual's genetic material.
The idea is. The targeted organism will get an electric zap that opens ion channels, pushing artificial viruses through ion pumps. That guarantees that those artificial viruses can get access to the cell. Otherwise, the immune system can destroy the virus. That should transfer genomes to the wanted cells.
If something pushes those viruses through the ion pumps. The genome transfer can turn easier. The electric zap can deny the possibility that the immune system destroys the artificial viruses that carry the DNA or RNA. And that thing can turn complete immune therapy and gene therapy into everyday work. Artificial DNA is one of the tools that can solve many problems. That thing can reprogram cells. And remove genetic errors from them.
Another way to aim artificial viruses to cells is through photoacoustic systems. In that system, a laser makes vibrations in liquid or solid material. And that vibration makes soundwaves that can push particles in the 3D structure.
The key element in artificial DNA manufacturing is how to control 3D structure. The 3D structure is an element in nanotechnology. That structure gives new abilities for well-known materials. Nanotechnology requires deep-learning networks that can compile physical and chemical environments. The deep learning networks require all possible information about the process that happens in the reaction chamber.
https://www.sciencealert.com/a-zap-from-an-electric-eel-could-give-nearby-organisms-new-genes
https://scitechdaily.com/from-blacksmiths-to-beamlines-3d-atomic-revelations-transform-alloy-engineering/
https://en.wikipedia.org/wiki/Electroporation
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