Ions and metasurfaces are the new tools for robotics.

"Schematics of multiplexing metadevices based on coherent wave interferences. Credit: OEA" (ScitechDaily, Pushing Optical Limits: Metasurfaces Achieve Near Infinite Light Control in a Single Device)

The new metasurfaces and ion channels turn information technology and nanomechanics forever. The photonic or photon-reacting and interacting metasurfaces make it possible to create devices that can operate independently in complex situations. 

Those photonic-controlled devices can make things like highly advanced morphing systems possible. In nanotechnology, it's essential to control systems. That is smaller than some molecules. And the metasurfaces are one thing that makes that system possible. When we think about systems like cars and robots that can change their shape, we must realize one thing. 

Those morphing surfaces will be created by nanomachines that act as the morphing neural network. Those small robots can take any form that they ordered. The system can interact with outsider observers like small drones that can tell that small, soundbite size nanorobot swarm how they should move to take a certain form. That thing means that the AI-controlled system can take any shape that it sees. The drone can make the 3D scanned image, and then order those nanorobots to take it. 

In some futuristic visions of the future, the data travels in the organic network. Those systems can be neurons or some hybrid cells. The long threads transport information like neurons. Those systems can transport information between those neurons by using the lion channels. Those ion channels make it possible for information to travel most of the time in chemical form. When that neurotransmitter reaches that neurotransmitter, it sends an electric impulse to the microchip that decodes the message. 

Ion channels are interesting. Those channels can form the ion superhighways that can make new ultra-secured data transmission possible. In those nanorobots, the system can have a small tube that transfers those ions from one place to another. The ion can transport information as well as electrons or photons.  There are multiple ways to make that data transportation. 

"Record ion speeds are achieved in organic conductors where local molecules can attract or repel ions from nanochannels that act as ion superhighways. Credit: Second Bay Studios" (ScitechDaily, Ion Superhighways: The Nanotech Breakthrough Powering Tomorrow’s Tech)

One is to use two ion channels and shoot ions through them. The ion channel one is the one in the binary system. And the ion channel two is the zero in the binary system. Those ion channels can be thousands of kilometers long. And that allows the system to transport ions over long distances. 

In some Sci-fi-Books that kind of system can also transport antimatter like positrons and anti-protons into the wanted point. This kind of system can installed in the robot bug. The robot bug transports those antimatter particles to the wanted point in the magnetic chamber, that puts them to flow. 

That denies antimatter contact with the walls of that chamber. Then the robot injects antiparticles through that ion accelerator or ion proboscis. That kind of weapon would be extremely horrible. And one of them can destroy even warships. The antimatter energy level is so high, that a gram of that matter turns the entire Earth into a molecular cloud. 

The ion-based information transport system is one of the versions of ultra-secured data transmission. The idea is that. The system can deny the outsider observer. To see ion. If the outsider harms the ion channel that thing is seen in control rooms. The receiving system must require the energy level and speed of ions to be at a certain level. Those things tell that ion is part of the message. 

The ion channel is also a vacuum, and if somebody wants to steal information, that launches the pressure sensor and denies the ion flow. The ion systems might not look as effective and wonderful as photonic systems. But they can interact between living neurons or organic microchips and regular, non-organic systems. In that system, the microchip transports information to the neuron cell's ion channel using the ions. 

https://scitechdaily.com/ion-superhighways-the-nanotech-breakthrough-powering-tomorrows-tech/

https://scitechdaily.com/pushing-optical-limits-metasurfaces-achieve-near-infinite-light-control-in-a-single-device/

Self-learning morphing neural networks are a big risk and a big opportunity at the same time.

 Self-learning morphing neural networks are a big risk and a big opportunity at the same time. 

The future of machine imaging is that AI can tell your age by looking at you from the back. This is one version of how AI can make life easier and, and the same time more difficult at least if the AI is used as a control tool in some authoritarian countries. 

The AI-controlled man-shaped robots can turn all production platforms into robot factories. The man-shaped robots can use the same tools as humans. That means even old-fashioned factories can turn into robot factories. Where robot welders and other robot workers operate. The human-shaped robots are morphing tools. The same system that can make cars can use weapons to act as tank crew, assault operators, or flight combat aircraft. 

The AI is an ultimate tool for making complicated molecules, and it can make many things faster and better than humans. AI is also a more effective surveillance tool than ever before. 

In medical factories, AI creates new complicated molecules. And that thing means that the AI must be self-learning. The AI records the time and how long the molecule keeps its form. Then, it stores physical and chemical environment values, like pH, temperature, and energy levels that the system uses to push atoms in the right direction and position from the molecular structure. 

Nanomachines are complicated molecules. And weponize that technology is very easy. The nanomachines can cut cell membranes into pieces. And then they can turn targets into liquid. The other thing is that. The AI itself is a weapon that hackers can use. 

For making damages the AI doesn't need access to any laboratory. It can just create a computer virus that deletes target information from weapons.  Or it can delete access cards that allow personnel to go into the highly secured command places. In that case, those personnel cannot take command in those command centers. 

AI-based hacking tools can used to steal codes that are used to control missiles like Javelin. Those AI-based tools can destroy operating systems in tactical and strategic systems. In those cases, the AI can create a virus that removes programs from high-tech missiles and other weapons. 

And that means there are not only good or bad things, that the AI can do. This is the thing that makes AI a more powerful and more complicated tool than nobody expected. When we think about the arms race and AI, the fact is that small countries get more benefits from robot weapons than big nations. And that is the thing that makes those systems game-changers in international areas. Ukraine conflict shows that a bigger army doesn't win conflicts anymore. 

The thing is that the world needs innovations and the AI is the greatest tool that we ever created. The AI-based morphing systems can change their structures and operations dynamically. Are tools that make neural networks better than ever before. In neural network-based structured networks virus infection in one workstation does not destroy the entire network. '

The morphing network just removes infected workstations and then formats the system. After that, it reconnects that cleaned workstation back to the network. Teaching new things for the morphing neural network is also possible by loading the application into one workstation, and then that system scales that information all over the network. In morphing networks, the network is only the platform, that operators can use in multiple missions. 

The self-learning morphing networks are the tools that can be next-generation spying tools. The idea is that the neural network can use multiple IP addresses for attack. And that makes it hard to deny those attacks. Then the AI can create common passwords if it has the namellist of the workers. The neural network can search for things like what those people borrow from the library and what type of movies they watch. 

Then it can create the "most common" passwords like the first letters on the license plate, the name of the favorite actor (or favorite book, dog's or spouse's name, etc.), and numbers from the license plate. The AI can search and interconnect data that it can collect from security cameras drones and other sources. If an attacker is a state, the attacking system can use recon satellites and recon planes to get that kind of data. The resources determine what kind of systems and methods the neural network can use. 

https://scitechdaily.com/the-future-of-medical-imaging-advanced-ai-can-tell-your-true-age-by-looking-at-your-chest/