The new discovery can play a key role in developing new, fast, and low-energy microchips.

"Scientists have uncovered how tiny magnetic waves can produce electric signals inside materials, potentially transforming computing efficiency. University of Delaware engineers have shown that magnetic waves called magnons can create electric signals, bridging two key forces in computing. Their work points toward chips that operate faster and more efficiently by eliminating wasted energy. Credit: Shutterstock. " (ScitechDaily, This Magnetic Discovery Could Be the Key to Ultrafast, Low-Energy Chips)

The discovery is named magnon, or actually. It is the magnon's ability to transmit magnetic waves in structures. “A magnon is a quasiparticle, a collective excitation of the spin structure of an electron in a crystal lattice. In the equivalent wave picture of quantum mechanics, a magnon can be viewed as a quantized spin wave. Magnons carry a fixed amount of energy and lattice momentum, and are spin-1, indicating they obey boson behavior.” (Wikipedia, Magnon) 

The ability to transmit information between atoms, or atomic-scale quantum dots, requires methods that don’t disturb the material. The magnetic wave that travels between atoms doesn’t cause as much heat as regular electric flows. Magnetic waves don’t oscillate matter as much as electricity. And that makes it possible to create smaller and smaller microchips. One of the problems with computers is heat. Every time electricity travels through a wire, it faces resistance. The thing. That causes resistance. This is the so-called Hall effect. 

There is a small part of electricity that jumps backward from atoms and forms a standing wave. So, for jumping through that standing wave or potential barrier, the system must pump more and more energy into the wave. The standing wave acts like a dam. That collects energy behind it. And that effect continues until energy can travel over that dam. This is why wires should be kept as short as possible. In the small microchips. Even a small anomaly. Has a big effect. 

The problem with superconductors is that the superconducting microchip cannot control electric flow in the same way as a semiconductor. In semiconductor. Electric impulses control the electrical flow by adjusting the resistance in the semiconductor. The semiconductor is an insulator and a conductor. At the same time. That ability is needed at the gate. When a semiconductor is in the state of an insulator. That point will not let electricity travel through it. That means the gate is closed. And when the semiconductor is in the conductor state, the gate is open. And electricity can travel through it. And when the gate is closed, the state in the wire is zero. When the gate is open, the state in the wire is one. 

In superconducting microchips, the laser can be used to make those gates. The laser system can heat the superconducting material. And that removes superconductivity. The laser system forms a gate in the superconductor. The problem with those systems is that they need very low energy levels. If the energy level in the impulse is too high. That means energy travels over that thermal gate. The superconducting computer. It can be the answer to compact AI systems. Those microchips make it possible to create laptops and even pocket-sized systems. That can have a calculating capacity. That beats some of the supercomputers. Those systems require pocket-sized superconducting technology. And maybe. Nano-sized pressure and cooling systems can turn them into reality.

https://scitechdaily.com/this-magnetic-discovery-could-be-the-key-to-ultrafast-low-energy-chips/

https://en.wikipedia.org/wiki/Hall_effect

https://en.wikipedia.org/wiki/Magnon

https://en.wikipedia.org/wiki/Quasiparticle

https://en.wikipedia.org/wiki/Semiconductor

New eye implant restores vision.

"A new electronic eye implant has restored reading vision to people blinded by dry age-related macular degeneration. In a major trial, patients using the PRIMA implant and augmented-reality glasses were able to see letters and words again after years of darkness." (ScitechDaily, Solar-Powered Eye Implant Restores Reading Vision)

The solar-powered eye implant restores reading vision. These types of innovations are coming. Into everyday use. Those microchip implants could make a person see in the dark. If there is an IR and thermal IR vision. The fact is that these kinds of microchips are tools. That can make it possible to combine humans with machines in new ways. The eye-implanted microchips can act as screens. That makes it possible to create a connection with the internet without the brain implants. 

The microchip that restores vision can send that data into the nerve, or it can act as a screen. The system can transmit those signals to the optic nerve or straight to the visual cortex of the brain. That requires a connection between that chip and the visual cortex. 

The last version is the intelligent contact lens that can revolutionize. The human’s abilities. In those systems, the CCD camera is on the other side. And the screen is on the other side. The system can have a miniaturized Bluetooth. This makes it possible to communicate. With other Bluetooth devices. 

The same technology is used with those microchips. It can be used with intelligent contact lenses, which are a lightweight method. To complete the human-machine interface. The intelligent microchips can accomplish the task. That we can call. The technical remote view. Those microhips can collect information from drones and other tools. Which have the compatible systems. 

There is a possibility that the animal. Like some bird. Could get this microchip. And then the GSM- or radio transmitter. That allows it to transmit everything that it sees to the ground stations. Small-sized data transmitters can be connected to the feet of the bird, like message capsules are connected with a bird of prey. Or they can be surgically implanted under the chest of the animal. Those systems can transmit voice and images to the observers. Those microchips can involve microphones. And they allow operators to see how real animals behave. They can also be used in robots as tools that can collect information and share it between other actors. 

https://scitechdaily.com/solar-powered-eye-implant-restores-reading-vision/

In the futuristic microchips, every microchip has its own power source.

 

Above: AI-image that portrays the microprocessor that has its own fuel cell. 

Why it's hard to make a computer that mimics brains in energy use? People say that brains will not need so much energy as microchips. But our brains are more effective than any computer. The reason our brains are so energy-efficient is that every cell has its own power source, called mitochondria. That means our cells begin their energy production in them. Energy travels in cells in the chemical form. 

And that decreases waste energy. The ion pumps on the cell's membrane control the need for nutrients and when cells do not have very much to do, it turns mitochondria in the low level. That decreases temperature. And keeps the waste temperature minimum. The brains are energy-effective. Because every single cell in the neural structure can increase or decrease their energy production by controlling the nutrients that mitochondria use for energy production. 

That keeps the energy level in billions of neurons as low as possible. The human brain has two types of data transmission. The electric and chemical. The neurotransmitters are chemical qubits that travel in axons. The electric impulses are things that the neurons use very fast communication. 

And the neurotransmitters collect that information and put it in packets. The electric impulses prepare the neurons to route those neurotransmitters into the right cells. In human brains, every neuron in neuron groups is one state of qubit. The thing that makes human brains so effective is that neurons always act in groups. They have so-called speculative computing modes. 

The reflex is the natural version of speculative data processing when certain cells send a message to the common address that electric impulse activates the reflex that is movement in certain cells. Electric signals are enough to activate reflexes. This means that brains must not store all information in them. Brains also share their responsibilities with larger areas in the nervous system that make things lighter for them. 

But then we can start to think about computers that architecture is far from systems that we know. In regular computers the power source is centralized. The system gets its electricity from the electric net. And that makes the system a little bit ineffective. The wires between those microchips form heat that decreases the data systems' effectiveness because heat causes oscillation in those wires. 

The solution can be the hydrogen or hydrocarbon miniature fuel cells. Those fuel cells can used as the artificial mitochondria for every microchip.

That fuel cell is installed in every single microprocessor. The microprocessor controls the fuel, like hydrogen (or hydrocarbon-like alcohol) flow in those fuel cells. The hydrogen system can replace electric systems in power input. Another thing is that the two-layer multicore microchips can mimic human brains. Those processor groups can be used as morphing neural networks. 

The system can control every fuel cell independently. And those systems can be the solution to thermal problems. 

Another solution is the photonic computer. The multicore processor with those fuel cells or artificial mitochondria can communicate with other processors by using laser beams. The microprocessor groups can also have internal photonic architecture. The main goal is that the data travels in computers as little in copper, or electric wires as possible. 

https://www.quantamagazine.org/how-much-energy-does-it-take-to-think-20250604/

The first biological computer is real.

Cortical Labs introduced the first quantum computer that uses human neurons for data processing. The cloned human neurons are tools that can offer new ways to create new quantum- and neural systems with powerful calculation capacity and low energy use. In those systems, microchips give electric impulses for training those neurons. They live on special nutrients. The system outsourced the computing to the living neurons. Microchips download data to those neurons and then upload that data to the output devices like screens. 

Those neurons live about nine months because they don't get precisely the right nutrients. And the immune system doesn't support them by removing their metabolism structures and destroying things like viruses. The lab-growing cloned neurons are the new tools for the hybrid systems that can change our way of thinking about life. 

This new application is the "brain in a vat" that can control many things from sensors to robots. And there are always dangers if we create things like robots, that the human brains control. In this case, I mean a robot that the cloned brains control through the microchips. The microchip can connect the cloned brains with computers that can control the robot body. The system requires the human stomach and digestive system, with bacteria that can handle the right food. 

The robot body must also have a tank with bone marrow that creates immune and other blood cells that transport nutrients for those neurons that control the robot. The main problem with biological neural computers is the right nutrients. And another main problem is that those systems are dangerous. If we think about the neuron-controlled robot that eats the same food as we do, that kind of system can be more than a robot. Artificial mini-brains with cloned neurons are made in laboratories. 

Those neurons are normally used in medical tests, especially in Alzheimer's research. But those neurons are been empty. There should not be data in those brains. Microchip technology allows the system to create mini-brains with trained neurons. Those systems can make it possible to create medical treatments for brain damage. Cloned neurons allow medical specialists to fix the damaged brain tissues. However, the problem is that the neurons require their memories. The answer can be in the human memory cells. 

Researchers found star-shaped neurons in human brains. Those neurons can be the key to the human memory and why it's so effective. The biological neural network with quantum-network safety can use those neurons for data transportation. The system might look like a pressure post where pressurized air transports the message capsules. The data system just transports information to those neurons. 

And then that pressure tube transports it to the receiver. There the computer downloads data from that neuron. That is one way to transport important information safely across the distance. Biotechnology with neuron-fungus-electric conducting bacteria can make the biological computer neural network real. Those biological networks can offer new and secure ways to communicate at least in short distances. 

Another interesting thing is to connect microchips with the electric eel's cells. That creates electricity. Those cells can make electricity from nutrients for regular microchips and other systems. The problem is that those cells are vulnerable to viruses. Those electric-producing cells can also raise the transmission power. And they offer the possibility to create a long-distance biological neural network. The system downloads data from the neuron to the microchip. 

The system can transmit electrical signals through the biological neural channel in the form of electricity. Those electric cells can offer power to electronic systems. The regular version of the artificial axon is the ion accelerator where the qubit can travel in the form of ions

https://corticallabs.com/cl1.html

https://newatlas.com/brain/cortical-bioengineered-intelligence/

https://scitechdaily.com/mit-breakthrough-star-shaped-brain-cells-could-be-the-secret-behind-human-memory/

https://www.techradar.com/pro/a-breakthrough-in-computing-cortical-labs-cl1-is-the-first-living-biocomputer-and-costs-almost-the-same-as-apples-best-failure

https://www.tomshardware.com/tech-industry/worlds-first-body-in-a-box-biological-computer-uses-human-brain-cells-with-silicon-based-computing

https://www.ppvak.fi/ensimmainen-ihmisen-hermosoluista-ja-piista-valmistettu-tietokone-on-julkaistu/

Image: Ppvak

Diamonds and holograms in microchip production.

"A NIMS research team has successfully developed the world’s first n-channel diamond MOSFET (Metal-Oxide-Semiconductor Field-Effect Transistor), a breakthrough that enables the creation of diamond-based CMOS (Complementary Metal-Oxide-Semiconductor) integrated circuits for high-performance use in extreme environments. This innovation leverages diamond’s exceptional properties, such as high thermal conductivity and radiation resistance, paving the way for energy-efficient electronics capable of operating under intense heat and radiation. (Artist’s concept.) Credit: SciTechDaily.com"(ScitechDaily, Diamond Devices Break Limits: Scientists Unveil New High-Performance Nuclear-Grade Transistor)

Diamond devices can revolutionize electronics. They can act as transistors. But those diamonds can also control things like resistance in materials. The diamond can act as a phonon that can send acoustic waves into the semiconductor. That thing allows the system to control electricity in the semiconductor better. The diamond-phonons can create extremely strong pressure in an extremely small area. That thing can turn the point into superconducting at lower temperatures than normal pressure and temperature allow. 

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"(Left) Atomic force microscope image of diamond epilayer surface morphology. (Middle) Optical microscope image of the diamond MOSFET. (Right) Performance of the MOSFET measured at 300°C. The drain current increased when the gate voltage (Vg) was increased from -20 V (indicated by a black line) to 10 V (indicated by a yellow line). Credit: Satoshi Koizumi, Meiyong Liao National Institute for Materials Science" (ScitechDaily, Diamond Devices Break Limits: Scientists Unveil New High-Performance Nuclear-Grade Transistor)

"Researchers at UMass Amherst developed a novel method for aligning 3D semiconductor chips using laser light and concentric metalenses, projecting holograms that reveal even atomic-scale misalignments. This breakthrough could reduce chip manufacturing costs, enable advanced 3D electronics, and lead to compact, affordable sensors." (ScitechDaily, Laser Holograms Could Revolutionize 3D Chip Manufacturing)

"Simulated and measured results of different sizes of lateral misalignment, from 150 nm to 1 micrometer (or 1,000 nm). Credit: Amir Arbabi"  (ScitechDaily, Laser Holograms Could Revolutionize 3D Chip Manufacturing)

"[Left] Semiconductor layers are stacked using concentric metalenses as alignment marks. [Right] Light shines through these marks to project a hologram. The alignment or misalignment of the lenses dictates the hologram’s appearance. Credit: Amir Arbabi"  (ScitechDaily, Laser Holograms Could Revolutionize 3D Chip Manufacturing)

Simulated and measured results of different sizes of misalignment in the gap between two layers, from 1 micrometer (or 1,000 nm) to 3 µm. Credit: Amir Arbabi  (ScitechDaily, Laser Holograms Could Revolutionize 3D Chip Manufacturing)

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That makes it possible to create mass memory where the computer can put the data. And when those memories are not needed the system can remove pressure and that removes the superconductor. This makes electronics safe. The diamond can also be used as SONAR. Which can search for non-wanted potholes and scratches from microchips' surfaces.  

The diamond can also clean the layers by sending acoustic waves to it. That kind of system can be used to create ultra-clean layers. 

Another interesting thing that can revolutionize microchip production is holograms. Holograms can test does the microchip fits its position on the microcircuit. Holograms can also test the non-wanted anomalies from the layers. The reflection of the holograms uncovers if there is some kind of error in the structure. That thing makes it possible to create more advanced and more effective microchips. 

Those holograms can also be used to illuminate the film where the system makes a route for electricity. That kind of microchip manufacturing systems are more advanced and effective than traditional systems. 

https://scitechdaily.com/diamond-devices-break-limits-scientists-unveil-new-high-performance-nuclear-grade-transistor/ 

https://scitechdaily.com/laser-holograms-could-revolutionize-3d-chip-manufacturing/

The photonic computer will be a game-changer in computing.

"Columbia engineers have created a powerful 3D photonic-electronic chip that could overcome one of AI’s biggest hardware challenges: energy-hungry data transfer."(ScitechDaily, Game-Changing 3D Chip Uses Light to Supercharge AI)

The photonic computer would be a fundamental tool. It uses less energy, has a lower temperature, and requires fewer rare and expensive minerals than an electric computer. Theoretically, photonic computers can use silicone-photovoltaic cells, where laser light shoots electrons to move. 

The photonic computer uses light in the same way. As electric computers use electricity. We can think of the electric computer or electric microchip as a voltage meter. When the electric level in the voltage meter goes below a certain point (that can be 4, for example) the system sees that value as zero. And when the voltage meter rises over 4 the system sees that value over 4 as one.

In a photonic computer. The voltage meter is replaced. Using a photometer. Theoretically, we can transform solar panels into optical data receivers. The laser beam that illuminates those solar panels can adjust their energy production. The silicone-based photovoltaic cells can be installed on microchips. The laser can transmit data to microchips through those photovoltaic cells that transform light beams into electric signals. 

In modern AI-based systems. 

A Certain wavelength like red can mean zero. And the blue laser ray can mean one. 

Or the system can adjust the laser light brightness. The problem is how the system detects that the electricity is cut. The system requires three values in the measurement tool. When light, or electricity level turns below that border value the system translates that it's cut off. 

The thing that makes those systems more effective is the light levels. Let's say, between 2-4 can mean zero. And above the 4 means one. If the system's energy level goes below 2. The system translates it that electricity is cut. 

But that is only one version of the photonic computer. 

There are three types of photonic computers. 

1) The computer whose main data cables are replaced by optical cables. 

2) The wires between the microchips are replaced by an ooptical wire. The system uses electricity only in microchips. 

3) The all-photonic system microchip's internal data flow travels in the photonic form. The system uses electricity only when the system inputs data into the photonic computer. 

The last, and the most radical version of computing is the tool that is one of the most impressive systems. All-photonic microchips are less vulnerable to electromagnetic fields than electric systems. The system requires things like diodes, light transistors, and resistors. 

The most difficult thing is to turn the resistor to operate in optical areas. The answer can be the holographic system that acts in an optical area in a similar way as a resistor acts in electric components.  

 https://scitechdaily.com/game-changing-3d-chip-uses-light-to-supercharge-ai/

Scientists crack hidden speech signals in human brains.

"A £69 million ARIA-funded project aims to revolutionize Parkinson’s treatment by developing brain implants using midbrain organoids. Led by Professor George Malliaras, the research focuses on helping transplanted dopamine cells integrate into the brain. (Artist’s concept). Credit: SciTechDaily.com-" (ScitechDaily, Cambridge Scientists Develop Brain Implants To Treat Parkinson’s Damage)

That thing can revolutionize computing. And especially the BCI, brain-computer interface technology. The ability to read those signals makes it possible to control computers using those hidden signals. The system can decode those signals to the computer and drive them to speech-to-text applications. Then that application can give orders to computers. By using large language models, LLMs. 

The system transmits those hidden signals to the LLM that follows the orders. The thing that makes the BCI quite complicated is to filter non-wanted brain signals. The problem with those kinds of systems is that they can also help people like secret police to see what people think. Otherwise, it can be used to solve crimes, in cases where the fugitive or victim doesn't want to give information. 

Maybe quite soon, researchers can also read and decode other brain signals. Than just speech. That allows us to project things like memories to the computer screen. The knowledge that the brains think based on networks rather than single neurons helps to make models to make computers communicate with brains. 

"A groundbreaking study has revealed new brain regions that could help restore speech in people with Broca’s aphasia. Scientists are working toward a brain-computer interface that translates brain activity into spoken words, offering new hope for those who have lost their ability to communicate. Credit: SciTechDaily.com" ScitechDaily, Lost for Words? Scientists Decode the Brain’s Hidden Speech Signals)

The ability to read and decode brain signals makes it possible to predict the future better than ever. Brains are like computers. They compile things that happened before to the signals that the senses bring into it. That thing makes it possible to create predictions of what will happen next. There are certain signals in the environment that repeat every remarkable thing. And if we see those signals we can see the future. If we have more sensors that makes those observations more effective and accurate. 

Researchers found out how the cerebral cortex predicts the future. The process is very interesting. "The cerebral cortex plays a key role in predicting the future by detecting novel stimuli and forming short-term memories. A new study shows that networks of neurons, rather than single neurons, are responsible for this novelty detection, providing insights into both normal brain function and disorders like schizophrenia."(ScitechDaily, New Study Reveals How the Cerebral Cortex Predicts the Future) 

The new neuroimplants can fix the damage that Parkinson's made to the central nervous system. Maybe quite soon the neuro-implated microchips can also be used to fix other neural damages. The thing is that those very flat microchips can be on the skull or in the skull. And then the electrode or wireless system can communicate with those microchips. The thing is that those microchips can communicate with all kinds of devices. The brain-implanted microchips can also make it possible to communicate with other people by using thoughts. The microchip transmits the EEG to the receiver. 

https://scitechdaily.com/cambridge-scientists-develop-brain-implants-to-treat-parkinsons-damage/

https://scitechdaily.com/lost-for-words-scientists-decode-the-brains-hidden-speech-signals/

https://scitechdaily.com/new-study-reveals-how-the-cerebral-cortex-predicts-the-future/

The simulation is the computer's imagination.

Google Willow Chip does. And does not communicate. Through a physical parallel universe. 

The idea of the parallel universe is simple. The information can form a copy of itself. The other universe can form inside other universes. Another thing is that the information can make smaller copies of itself. And still keep its form. That means the wave movement can make a lower energy copy of itself. 

And that lower energy copy can be similar but harder to see than the original wave. The superposition and entanglement with those two waves mean that energy flows from a higher energy position into a lower energy position. That continues until those waves or other objects have the same energy level. And that destroys the quantum entanglement. 

The Willow chip is an extremely powerful tool. It can calculate calculations that the normal computer uses time that is longer than the remaining existence of the universe. 

The universe can be real or virtual. That means it can be the real thing with stars and planets. Or it can be a simulation. In the computer memory. 

 

Simulations are the computer version of the imagination. 

So when the AI gets the order to transport something. It collects data from roads. The weight of the cargo, and other necessary information. 

The system makes the virtual drive through that route. 

Then it will be called physical equipment. And makes its run. We can say that those simulations are cyber dreams. 

The microchip cannot make quantum teleportation for the physical universe. But it can transport complex information structures through it. 

Researchers should say that the Willow chip can teleport information through the superposition. Or researchers should use the term: "virtual universe" rather than say "parallel universe". 

The universe can be material. Or it can be virtual. The virtual universe might seem real until we touch it. The virtual universe is the structure. That we handle as real. But it's the product of the VR systems or our brains. In the last case, we talk about imagination. 

And after all. The universe is only information. Quantum teleportation can make it possible. That information itself can form a stable state. The stable state can be the information in the hard disk. 

That thing doesn't mean that we can turn our thoughts into another physical universe. And when they talk about information, there is no stable or universal information state. 

The term parallel universe is sometimes misunderstood. The universe is information. That is in spacetime. And the universe can be virtual. So, we should say that when our brains imagine something. They create a virtual parallel universe. In that case, the universe is the world that exists only in the electric curves in our brains. 

That means we can put those electromagnetic waves into superposition and then make the quantum teleportation that transmits those EEG or electric curves to some other receiver. So the Google Willow chip doesn't teleport information through the other physical parallel universe. But it can teleport information. That creates a virtual world in the receiving computer's memory. 

Simulation is the computer's imagination. 

The neurons are the key element for the imagination. But the computer can collect data and make simulated runs. Before it makes the real things. Those simulations are the tools. That we call imagination when it happens in our brain. The computer uses data stored in its memory to make the right things. 

And there is no memory-independent way to make things. All simulations and machine learning are based on the idea that the computer stores data in its memory. Then it connects data from multiple data sources. 

The computer requires hardware and software.

The new photonic microchips are extremely fast. They can make many things faster than traditional microchips. And the quantum computers require that thing. Quantum computers are tools. That can make calculations faster than any binary computer on Earth. But as we know. The traditional computer can make any calculation as quantum computers. The binary computers just make those calculations far slower. And that means that quantum computers make things faster. 

But both computer types must follow the orders of mathematics. Even the fastest calculation tool is helpless without formulas. They need to make solutions that we can accept. So, we can say that even the best and fastest computers are helpless without mathematicians. However, the computer requires programs that turn mathematical formulas into understandable forms for the computer. 

Hardware and software are both important. Without software, the computer doesn't do anything. The software has three layers. The programs, operating systems, and kernel. The last one interacts with the hardware like microchips and other tools like mice, display adapters, and sound circuit cooperation. 

Or then we must realize that the computer requires programs that it can do anything. The programs and operating systems are things. That is vital for computers. And of course, computers require input and output tools like keyboards, microphones, and screens. And then there must be an internet that computer programs like AI use to for search information. Here we see what kind of problems we have with computing. 

We develop processors but we should also develop programs that support those new processors. Things like biological processors that involve living neurons are not solutions for all problems. The microchip must transmit data to neurons and receive it. But that means the computer must program the neuron. 

We can think about things like "iron-based AI". That term means the computer chip or microchip that has the large language model, LLM in its kernel. We have the "iron-based (A)I) in our nervous system. We can say that when we learn something we program our nervous system. 

That kind of microchip is a tool that involves miniature computers. So that means that the layer where that tool called LLM exists doesn't matter. It can be an independent program or it can be a layer in the operating system. If the LLM is the layer on the operating system all commands to the computer travel through the LLM. The thing is that the AI is the computer program that is in some layer in those computers. The thing is that the network-based solutions offer laptop users the ability to use complicated AI-based systems over the internet. 

Those complicated and hard systems exist only in the remote computers far away from the users. The code is driven by supercomputers. And the home, or office users can give orders to the LLM through the internet. That means the user can have lightweight systems, and the rough force that is needed is in some cave, maybe far away from the place where that operator sits. 

Intensive interaction over the net requires extremely fast and safe communication. The system requires highly secured data highways there information is out of the hands of outsiders. The system must pack the data into the form so that the attackers cannot see or touch those data packages. This is the difference between quantum and binary networks. In binary networks, the data is just mixed in the encryption process into the form that its reorder is difficult. In quantum networks, the system denies the attacker to see the message. 

Ants and microchips part II

Ants and microchips part II

We all have seen the images, where ants are carrying microchips. Could it be possible that the microchips, what are used to research and control the ants would just deliver to the forest, and when the ant is taking the microchip to its jaws the microchip will send the electric stimulant to the head of that bug. And could that thing make possible to control the ants and their behavior?

That kind of things are really interesting stuff to think, and when we are thinking possible to train ants and other bugs to find things, we must just grow them in the place, where they would think the thing like plastic explosives or drugs as the food. And when we would deliver those ants to the house, they could carry the microchip, which helps to detect their position.

That thing can help the persons, like law enforcement, find that kind of stuff in the houses, and other hidden locations. Ants don't fly and they are really hard to detect, and the RFID-chip can help to track those marked bugs. So how to train those bugs to find things, what the people want?

The answer is simple: growing them in the nest with the thing, what they wanted to track. In some scenarios, the ants can be used to steal highly secretive materials from the research laboratories, by growing them on material what wanted to steal. I don't know is this possible in practical life, but in theory, ants can steal small bites of medicals and another kind of materials.  In the wildest dreams, the ants can grow in the cell cultures, what are made by using cells, what are isolated from the crime scenes. In theory, ants can find those persons very easily. Also

And if the used ant is ranger ant, that means that this kind of thing is a very good topic for some kind of horror movie.  The RFID chip can be tracked by using a very sensitive radio receiver, and the very small-sized microcircuits would get their electricity by radio-waves, which makes those things very small and light. 

They can also be used in theory to take the ants under the control. And if that thing is possible someday, that thing can be used to deliver the senses of that animal to the operators. The ants can stimulate to tell other ants that in someplace is food, and that means when the ant is finding drug or plastic explosive storage, those bugs just eat that stuff. If we are thinking the cases, that ants are used to find the explosives, their jaws can moisten in the liquid, where are the bacteria, what uses sulfur as the nutrient.

That bacteria can make every explosive, what has sulfur useless. And that kind of thing might be the next-generation systems, what purpose is to find and terminate the enemy equipment. But I don't know, has somebody ever research the other things than using the wasps to detect mines.

Image:

https://media.sciencephoto.com/image/z3450356/800wm

Project "Stargate" and controlling other people or animals by using telepathy.

Project "Stargate" and controlling other people or animals by using natural or technical telepathy. 

Project "Stargate" was a CIA attempt to train people, who could use telepathy and other extraordinary methods to take people under control and even kill opponents by using telepathy and dark magic. The official version is that the attempts to make murders or otherwise affect other people's behavior by using mental powers were not successful, and that caused the end of the project.

But there is one thing, what we almost ever thought before, and that is that it's theoretically possible even kill a person by using deep suggestion. The idea bases the neurological thing, that the sympathetic nervous system is interacting with the parasympathetic nervous system, and the deep hypnosis or suggestion can cause stopping the heart or something like that if the wrong person is using those methods.

Technical solutions, the microchips that are controlling other species. If the bug is equipped with the microchip, what has the BlueTooth or WLAN communication ability, that thing allows controlling those things by using the mobile telephone application. 

But there is a possibility to take the person under the control simply putting the microchip on the frontal lobe, and the electricity must just cover the own electric actions of the frontal lobe. That thing can cause a very bad situation. Even the small-sized microchip, which has very big voltage can be used in that kind of action, and in some cases, the operator could kill the victim because of exhaustion.  This thing can be happened by using a robot bug, which would send the electricity through the frontal lobe.

There is also one really interesting vision of the neural implants. The idea is that small animals like mice would be equipped with microchips, which are taking that animal under the control. In theory, the high-tech microchips can control the behavior of the animal, and at the same time send the data of its sensors to the operators by using satellite- or norma Internet for transmitting data. If the decoders can turn those EEG-waves to the images of the screen of a computer, and the sound, what can listen by using the earphones, the operator would see everything that biorobot would hear or see.

Could we control the ant or wasp societies by implanting the microchip to the queen?

But one of the most fascinating ideas is that the bugs would be implanted, and the data, what those creatures nervous system would collect can be sent to operators. If we are thinking about social bugs like ants, we could implant the queen, and control the entire community by using that microchip. That ability would give very many purposes in the civil and military areas. The ants can be used to remove aphids from the vegetables, and the ranger ants can be used even in some very brutal purposes as the advanced biological weapons.

There is only one thing, what we must realize if we would want to make that thing in real life, and that thing is we must create decoder, what would transform the nervous electric operations for the mode that the computer can translate them to visible objects what can be seen in the screen of the computer. But if we would just deliver the attack order to the ant society, we must just record the neural actions of the queen in the case, when the ants would attack, and then send those records to the neural system of the ant queen.


Image:

https://www.themarysue.com/bee-microchips/