Researchers never imagine what they make when they make new metamaterials.

"Researchers have demonstrated the ability to engineer materials that are both stiff and capable of insulating against heat. This combination of properties is extremely unusual and holds promise for a range of applications, such as the development of new thermal insulation coatings for electronic devices. "(ScitechDaily, How Scientists Engineered the Unthinkable With New Hybrid Materials)

The researchers worked with a subset of the class of materials called two-dimensional hybrid organic-inorganic perovskites. These are thin films consisting of alternating organic and inorganic layers in a highly ordered crystalline structure, as shown in this illustration. Credit: Jun Liu, NC State University" (ScitechDaily, How Scientists Engineered the Unthinkable With New Hybrid Materials)

The new metamaterials are incredible things. Researchers never imagined what this kind of thing could do. Above this text is a diagram of the two-layer metamaterial that can transfer energy out from its shell. This kind of material can revolutionize space and aerospace technology. If this material is on the space probe's shell. It can offer great armor against incoming micrometeorites. 

The nano springs between those layers conduct impact energy. And if there is a very cold chamber behind the inner shell, that thing can conduct thermal energy out from the shell. The chamber can filled with liquid nitrogen or helium, and the system can dump the thermal energy into that chamber. 

A similar system can make the hypersonic flight possible in the atmosphere. The idea is that the system conducts thermal energy into the middle of the craft. In some visions, there is a tunnel from the nose of the hypersonic craft to the back of the craft. The airflow travels through the aircraft, and the system can transfer heat from that aircraft shell to that airflow. 

The airflow can travel between those layers, and it can pull thermal energy with it. Another thing is that the next-generation stealth materials are the holed graphene plates. In that material are the pyramid-shaped structures that scatter the incoming radio waves. The plasma that flows in this structure can also pull radio waves in it. And that thing denies the radar echo. 

Theoretically, these kinds of materials and structures can resist the laser or even nuclear weapons. The nuclear explosion releases a very powerful thermal energy burst. And also the pressure impulse is a very powerful thing. If the material can conduct the heat and impact energy out from the shell, into some kind of low-energy tank. It's theoretically possible to create structures that can resist the nuclear explosive. 

The liquid nitrogen tank can offer a place, where the system can conduct thermal energy. Liquid nitrogen can also pull the physical impact energy in itself like water does at room temperature. It's possible. Between those layers is the extremely low-pressure and cold quantum gas. The quantum gas can pull heat energy itself, and the expansion of that gas is not as dangerous as normal pressure gas is. 

https://scitechdaily.com/how-scientists-engineered-the-unthinkable-with-new-hybrid-materials/

The sea is a forgotten energy source.

Tidal waves and ocean currents are forgotten energy sources. 

Tidal waves offer a potential energy source in many places on Earth. The tidal waves can travel through the dams that are equipped with turbines. Or water can travel over the water mills, there is the generator connected. The system can use the dams that can fall if some big freighter must travel through. 

The tidal dams that can let the tidal water travel through those turbine channels can harness energy from that water flow. And in the case of storms, the dam can close those channels if the water level rises too high. The water power can be also in cases like the Ijisselmer in the Netherlands where the water must travel through the dam anyway. The dam can be equipped with turbines and generators. 

The hydro plants can also be more effective. If the drainage channels in existing hydro plants are equipped with turbogenerators. Those channels can also produce electricity. The system can drive electricity to the batteries. 

Another thing that can used for energy production is the ocean currents. The ocean currents are water masses that travel under the ocean surface. The normal wind generators that are put in underwater positions can harness energy from those underwater water flows. And also the smaller scale water flows can benefit electric production. 

The gravity systems can also be effective. The gravity system can be the gravity battery, where the weight moves up and down between the bottom and the surface. 

In some versions, there could be gravity plants in the ocean. The system can use pontoons that can filled with water. The pontoon is between the bottom and the surface. First, the pontoon is filled with water. And when it dives. It rotates the generator. At the bottom of the sea, the system blows pressurized air into the pontoon. And then it starts to rise from the bottom of the sea. That thing can also rotate generators. 

In some simple versions, the system puts sand in the box in the pontoon. That sand makes the pontoon sink. And then that thing puts the generator rotate. When the pontoon is in the bottom of the sea. That sand will drop out and the pontoon starts to rise. The capillary hover that archeologists use when they suck samples from the bottom can be used to bring the sand up again. 

That capillary tube can also bring water through the turbogenerator. That is used to make electricity from water by using electrolysis. The normal offshore oil rigs can use this system to produce hydrogen. Hydrogen can be used as fuel in regular power plants. 

The wave energy itself is the potential energy source. The waves are moving the cylinder back and forth. There is a stable structure that acts as a stator in that system. And when the shell is moving. The system called the "duck" acts as a generator. This is one version of how to benefit the waves and ocean energy resources. 

https://bigthink.com/the-future/tidal-power/

https://www.clean-energy-ideas.com/hydro/tidal-power/what-is-tidal-power-tidal-energy-explained/

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

The new innovative thermal trap can increase temperature to over 1000 degrees Celsius.

"Illustration of the experimental thermal trap. It consists of a quartz rod (inside) and a ceramic absorber (outside). Solar radiation enters at the front, heat is generated in the rear area. Credit: Casati E et al. Device 2024, edited" (ScitechDaily, Harnessing the Sun: Innovative Thermal Trap Reaches Over 1000 °C Using Sunlight)

When solar light travels in the tube, the outcoming heat will increase the tube's outer shell's temperature. When sunlight travels in the channel in the hollow tube, the infrared radiation from the walls increases its temperature. 

The heat trap can make it possible to create effective solar generators. 

The new thermal trap can be an innovation for the steel industry. That system can decrease the steel industry's pollution. And it can make the solar-powered blast furnaces possible. However, the new thermal trap can offer the possibility to create effective power plants. The thermal trap can used to replace the fossil fuels on sunny days in the power plants. It can offer the choice to use solar power in the electric plant's boilers. 

The solar generator is the tool where sunlight heats the liquid. And then the system drives this high-temperature and high-pressure vapor into the turbogenerators. 

The heat trap is connected to the regular power plant's turbines. And it can boil water. The system can boil water in a closed cycle. That raises the pressure in the tubes. That system can also rotate turbines, and if that heat trap can be compact, it can used in ships and power plants. 

The reason why we don't use steam turbines in the ships is that they are not economical. But if the steam turbines get their steam from systems that boil water using sunlight. That thing makes them ecological and economical to use. The sunlight using vaporization systems does not create emissions. And the turbines make ships very fast. 

The high-temperature vapor with 500-1000 degrees Celsius can give a very good pressure for steam turbines. That thing can used in ships and power plants. So the next-generation ships can use solar energy on sunny days. And maybe the steam turbines are making a comeback. When the system creates vapor using solar energy. That doesn't cause fuel costs. 

The heat trap can also make it possible to create a rocket engine, that uses sunlight to expand the propellant. The heat trap will heat the hydrogen or some other gas, that will travel back from the exhaust tube. And that thing makes an effective rocket system for traveling inside the asteroid belt. 

https://scitechdaily.com/harnessing-the-sun-innovative-thermal-trap-reaches-over-1000-c-using-sunlight/

Russian electronic warfare has become more effective.

Russian EW jammed the Starlink system. And that is a good example of why civilian systems are not suitable for military use. The problem with the military use of civilian GPS and other radio systems is that there is no flexibility in those system's frequencies. Chancing those frequencies is too complicated, and that thing causes problems with the communication. 

If Russians know radio frequencies, that Starlink uses, they can cover those signals using the jammer signals. Same way. If the Russian EW operators know the frequency. That the GPS uses, they can jam those systems. So to find out those frequencies. The Russians must just find one working GPS and one working Starlink system. Then they can make the transmitter that transmits radio transmissions covering those frequencies. 

The HiMARS system is becoming ineffective same as dart ammunition. There is proof that Russians can jam the GPS. But those systems require the information of the frequencies. The GPS jamming over the Baltic Sea can be a test of the range. That the Russian jammers can operate. The weakness of the jammer systems is that those systems are radio transmitters. Radio transmitters are easy to track. If the tracker knows the frequency that the jammer uses. 

The jammer must operate with the same frequency as the radios that they need to jam. And the GPS operator knows the GPS frequencies. There is the possibility that the targeted radio systems that send thin radio fields can cut the GPS and land station signals in a way that the ground stations cannot see those radio signals that are very high and accurately aimed at radio-microwave amplification by stimulated emission of radiation. 

When we think about things like a malfunction in the ground-launched small-diameter bombs (GLSDB). It's possible. That Ukrainians are not defined as launching vehicle positions. For precise, highly accurate flying the missile requires two points a launching point and a target point. 

If defying the launch position is inaccurate. That thing can cause errors in flying trajectory. There is the possibility that the launching vehicle is moving when the system defines the launching point. Or the Russians can jam the GPS of the launching vehicles. 

https://interestingengineering.com/military/himars-ineffective-russian-jamming

https://interestingengineering.com/military/russia-jams-musks-starlink-in-ukraine

The next generation of AI uses data structures. That researchers copied from the nervous system.

"Cowley’s team recorded the fruit fly courtship process over a series of “dates” in a petri dish, tracking the behavior of the male (blue) in response to any sight of the female (red). Tiny microphones placed below this “arena” captured the songs the male produced by beating its wings. Credit: Cowley Lab/Cold Spring Harbor Laboratory" (ScitechDaily, AI Predicts Fruit Fly Behavior With Stunning Accuracy)

The AI predicted the fruit fly's behavior with good accuracy. 

The next step for the AI is to make a system that emulates the neural system. The AI used microphones and cameras to observe fruit flies' behavior. The system observed sounds and movements that two fruit flies used in communication. And then, the AI connected those sounds and other signals with things that those fruit flies made. That allowed the AI to predict the fruit fly behavior. 

The insects are talking. They use both acoustic and chemical signals to communicate. The acoustic signals are a more effective way to order things like swarms because pheromones fly with wind. The system can use acoustic signals to control their behavior. 

This is one version of things that the learning machines can do. They can follow the sound and chemical signals. That the animals use in their communication. The spectrometer is one of the tools that can used to see what chemical signals the animal sends. Some insects use chemical signals only when they see each other. 

"Watch as the male fruit fly (blue) courts a female companion (red). The corresponding animation captures the male fly’s point of view. Credit: CSHL" (ScitechDaily, AI Predicts Fruit Fly Behavior With Stunning Accuracy)

Otherwise, they use acoustic signals. And when the AI hacks the insect's language it must just send the recorded acoustic signals to those insects. And then it can see, how those acoustic signals affect their behavior. 

This might look like only a small step. But AI is becoming more and more effective. That means the AI can handle larger data masses, and maybe quite soon, it can predict the behavior of the more complicated animals. And maybe in the future. The AI can predict even a single human's behavior. 

"With this schematic in hand, Cowley’s team can now turn their attention to interrogating their AI model instead of running costly experiments on real fruit flies. Credit: Cowley lab/Cold Spring Harbor Laboratory" (ScitechDaily, AI Predicts Fruit Fly Behavior With Stunning Accuracy)

The next generation of AIs uses the data structure. That is copied from the tapeworm (C. Elegansis) nervous system. The tapeworm is one of the simplest organisms with nervous systems. The tapeworms or their nervous system can used in biological microprocessors. And nanotechnology makes it possible to create small computers that act like neural systems. 

The C. Elegansis worm is a very primitive organism. However, the AI can easily create far more complicated data structures. In the virtual nervous system, the computer programs and databases act like physical neurons in the nervous system. 

In those neural emulation systems, the system involves virtual or physical neurons. In virtual systems, the neurons are programs that act like real neurons with databases, terminals, and connections. The morphing neural network can operate on multiple computers at the same time, and synchronize those virtual neuron's operations. 

The 3D map of the human brain can used to model the most complicated neural structures. That we can imagine. The most powerful observation tools can make images of how those neurons interact. And that interaction can copied into the physical and virtual systems. The new quantum radars that use extremely thin radio waves can scan the brains. 

Those quantum radars operate through nano-size antennas. The radio transmitter antennas can be as thin as one or two atoms. And those systems can see the magnesite bites in the brains. New ultrasound sonars where nanotubes act as miniature long-range acoustic devices (LRAD). Can scan the small neural structures that will not give radar echo. 

https://datascienceacademy.ncsu.edu/2024/04/25/wormscanai-machine-learning-aging-analysis/

https://scitechdaily.com/ai-predicts-fruit-fly-behavior-with-stunning-accuracy/

https://scitechdaily.com/nanoscale-3d-mapping-reveals-revolutionary-insights-into-brain-structure/

New nanotechnology and magnetism make new and more practical quantum computers possible.

"Researchers at the Cavendish Laboratory have identified spin coherence in atomic defects within Hexagonal Boron Nitride (hBN) under ambient conditions, a rare achievement in quantum materials. The study, published in Nature Materials, highlights that these spins can be controlled with light and have promising implications for future quantum technologies, including sensing and secure communications. " (ScitechDaily, Cambridge Scientists Achieve Long-Sought Quantum State Stability in New 2D Material)

The findings also stress the need for further exploration to enhance defect reliability and extend spin storage times, underlining the potential of hBN in advancing quantum technological applications. Credit: Eleanor Nichols, Cavendish Laboratory" (ScitechDaily, Cambridge Scientists Achieve Long-Sought Quantum State Stability in New 2D Material)

The Cambridge researchers created a new way to make a stable quantum state in 3D material. The normal problem with quantum systems is how to stabilize the quantum states. The new method to create quantum entanglement is to use electrons and their holes. In some visions in the middle of the graphene network is electrons. And if the other side is graphene where are the holes for those electrons? The system can make advanced and effective quantum processors with multiple states. 

A new way to make quantum computers is the quantum entanglement between electrons and their holes. The electron and hole are things that can form excitons. And if the system can halt the position of the electron, that orbits its hole, that thing can make it possible to create the new and long-standing quantum entanglement. The excitons can form in the Rydberg's atoms. That makes it possible to create smaller ones. And more powerful, or at least more complex quantum systems. 

Nanotechnology and new magnetism can suppress the outcoming effects in quantum systems. The new and more complex quantum computers require AI-based support systems. And especially the new types of sensors. Those new sensors tell things about the quantum entanglement conditions. In quantum computers, the AI-based operating system can operate the system remotely. The sensors tell about the operations and conditions of the quantum entanglement.

"Altermagnetic crystal: not only the directions of spin polarization (in magenta and cyan) alternate on neighboring magnetic atoms, but also the atomic shapes themselves – as shown by tilting the dumbbell-shaped electron densities in two different directions. The blue beamline illustrates the photoemission experiment on a synchrotron that was used to demonstrate altermagnetism. Credit: Libor Šmejkal und Anna Birk Hellenes / JGU" (ScitechDaily, Revolutionary Discovery: Scientists Prove Existence of New Type of Magnetism)

Because without precise information the operating system cannot handle and control quantum systems. The revolutionary micro-capacitors make it possible for the sensors can operate autonomously. The microsensors on the quantum system can operate as the morphing neural network. That means the operating system might have at least two states. 

The reflex system uses nanosensors' memories and the long-distance system that drives information into the quantum system. The reflex system is less complicated. And its mission is to keep the temperature in the system at a certain level. The sensors can also tell if some outside effect is extraordinarily strong. And the quantum system can retake the calculation. 

How to protect information from outcoming turbulence? Is a key information transport element in quantum information systems. 

"New microcapacitor technology developed at Berkeley Lab enhances energy storage capabilities on microchips, marking a major advancement in microelectronics. Credit: SciTechDaily" (ScitechDaily, Tiny Titans: Revolutionary Microcapacitors Set to Supercharge Next-Gen Electronics)

Organic electric silk tubes and a new state of magnetism are the tools that can make quantum information transport safer than ever before. 

Organic spider silk can be a new tool for biological sensors. The hollow fibers can operate as electric wires. And they can be printed on the new microchips. The hollow fiber can used as a sensor. As well as an electric wire. If the laser ray travels through the fiber, it can sense changes in its shape. When something presses the silk tube the shape of the laser ray changes, the laser ray sees that something has closed its road. The laser ray can measure the point where that anomaly is with very high accuracy. Using its distance measure ability. 

The new type of magnetism called "altermagnetism" is a tool that can revolutionize quantum and information technologies. The altermagnetism cannot detected from outside. And that allows to transmission of information in very highly secured channels. Atermagnetism can also used to protect quantum tubes, where information travels. The altermagnetic tube can cover the nanotube, where the quantum system transports information.

https://scitechdaily.com/cambridge-scientists-achieve-long-sought-quantum-state-stability-in-new-2d-material/

https://scitechdaily.com/tiny-titans-revolutionary-microcapacitors-set-to-supercharge-next-gen-electronics/

https://scitechdaily.com/revolutionary-discovery-scientists-prove-existence-of-new-type-of-magnetism/

https://scitechdaily.com/electronic-spider-silk-sensors-revolutionizing-bioelectronics-with-eco-friendly-technology/

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

Drones can harness energy from the skies.

"New research into Airborne Wind Energy Systems (AWES), funded by a substantial Engineering and Physical Sciences Research Council (EPSRC) grant, seeks to harness high-altitude wind energy using drones, aiming to overcome challenges in system stability and enhance commercial viability, supporting the UK’s net-zero goals. Image of a prototype Kitemill drone in action. Credit: Kitemill" (ScitechDaily, Energy From the Sky: How Drones Can Generate Electricity)

The drone can harness energy from the sky using solar panels and wind turbines. The drone itself can rise into a high atmosphere using its engines. Their drone shuts down engines. And then the drone can hover in jettisons or rising air pillars like sailplanes. 

And there the electric engine that turns into wind turbines and solar panels can create electricity. That drone can use advanced autopilot and things like lidars to search right air flows. The idea is that. This kind of drone can minimize its electric use. 

In this video, the system uses 500 m. flying systems. But it's possible. This type of system can also have stratospheric altitudes. The stratospheric system requires wireless energy transport. Or it requires nanotechnical electric wire that is lightweight enough. 

Then it can send more energy to the ground. This kind of system is economical only, if it can create more electricity than it uses. The induction electric engines can used as electric engines and generators. The idea is that the drone is like an intelligent kite that creates electricity. The Dutch engineers created an idea of intelligent kites that put wind generators hovering in the atmosphere.

*********************************************

Boeing Condor 

In some visions, the 30 km altitude flying large-scale drones can also transport small rockets or space shuttles to the edge of space. And there those systems can launch their cargo. The carrier can be a modified Boeing Condor that uses an electric engine system, and the payload can be a Pegasus or Dream Chaser-type small shuttle. 

Dream Chaser

*********************************************

The thing in this kind of system is how to transport electricity into the ground. In simplest version. The drone can fill its batteries, and then it lands at the base. There users connect wires to those batteries. But this version is ineffective. 

A better way is to use coherent radio, laser, or microwave transmissions. This system makes it possible for drones to transmit energy to ground stations from high altitudes. This is a more effective way to transport information and energy to an electric network. 

The same system can used as a communication platform. The system can act as a low-flying satellite. And in some future visions. That kind of "lightweight satellites". Or atmospheric satellites replace part of orbital satellites. 

The high-altitude reconnaissance and surveillance platform can use the same principles and technology as energy-producing drones. High-altitude drones can also destroy incoming ammunition and lower-flying aircraft and drones using laser and microwave systems. 

The drone can produce energy with the same method that the energy production drone uses. 

The high-altitude drones can also protect areas against enemy low-flying crafts. The high-flying drone can shoot low-flying drones and incoming ammunition. The solar-power drone that can use solar power in the daytime, and turn its induction engines into a wind generator that allows it to load batteries for nighttime can fly at very high altitudes. 

The system might have one engine that can use solar power and another engine that can used as a wind generator.  The system can shut down both engines and then glide between rising air pillars. In that period the system could use engines as the wind generators. And there that system can observe area. When it sees incoming ammunition like missiles it can shoot them using laser or microwave generators. This is one version of the multiuse technology. 

https://scitechdaily.com/energy-from-the-sky-how-drones-can-generate-electricity/

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

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

Neutron stars can involve dark matter.

Researchers use supermassive and massive objects to observe the dark matter. The dark matter is the gravitational effect, and researchers use things like galactic clusters to see how the dark matter bends the light. Researchers calculate how much those objects should weigh. Then they, see how much the object turns or blends the light in the gravity lens. That tells what is the real mass of the object. 

In some models dark matter or weakly interacting massive particles (WIMP) are inside all or some other particles. The idea for that is from the observation that protons involved charm quark. The charm quark is a more massive particle than a proton. That gave the idea that the charm quark might hover in protons. And the next idea was this. Maybe dark matter's WIMP particle hovers in some other particle. 

Because dark matter interacts with gravity as well as visible material. Researchers should find dark matter near massive objects or gravity centers. The thing that makes this mysterious gravity effect interesting is that, theoretically, the material can turn invisible, and dark matter is only one state of matter. But is it real material or is it some kind of virtual material? 

Above: Neutron is a composition of 1 up quark and 2 down quarks.

Above: Proton is a composition of 1 down quark and 2 up quarks.

The "lone quark" model: 

Protons involve two up quarks and one down quark. Neutron has two down quarks and one up quark. If that lone quark turns into its anti-quark material may turn invisible. 

It's possible that the up quark can transform into its antiquark in neurons, or the down quark can transform into its antiquark in the protons. That causes a situation in which the antiquark cannot find its mirror particle. In that model, the lone quark's transformation turns the material dark. 

In some models, there is the possibility that all other particles can create similar holes with electrons. The electron-hole is a positive point in the electron orbital. It's possible. Researchers can apply this model to eight color states in gluons. 

So can the quarks and gluons have similar abilities with electrons? In that case, the gluon or quark quantum charge can turn opposite. So the color charges or color states act like electricity in, and between electrons. And that means the gluon can create similar holes with electrons. 

Theoretically, a quark can form a quark hole when the quark turns into its antiquark. And if the antiquark cannot interact with its opposite or mirror quark there is no annihilation. Annihilation is possible only when a particle interacts with its mirror particle. 

And if the down quark transforms into its mirror particle in proton, or the up quark can transform into its antiparticle in neutrons it's possible. That the anti-up or anti-down quark doesn't find its mirror particle. And there should not happen an annihilation. 

In some other models, the charm quark in the proton can turn into an anti-charm quark. The charm quark hovers in the protons, and if that thing turns into an anti-charm quark, it might not find the mirror particle. But then another question is, can this thing turn material into dark? 

https://phys.org/news/2024-03-physicists-dark-small-scale-solution.html

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

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

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

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

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

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

The Chimera engine is the new tool for hypersonic systems.

The Hermeus corporation developed new advanced hypersonic aircraft called "Dark Horse".  The Dark Horse is interesting because of the new engine type, called "Chimera". The Chimera system is the most advanced hypersonic hybrid system. 

1) Turbojet Mode: At low speeds, Chimera operates like a typical turbojet engine found in jet aircraft. It uses the incoming air for combustion and thrust.

2) Ramjet Mode: As the speed increases. Chimera transitions to ramjet mode. In this mode, it bypasses the incoming air around the turbojet and relies solely on the ramjet for propulsion. Ramjets are more efficient at hypersonic speeds.

3) Hybrid Design: The key innovation is that Chimera combines both turbojet and ramjet technologies in a single engine. This hybrid approach allows for efficient operation across a wide range of speeds.

4) Operational Hypersonic Flight. Unlike traditional rocket engines used in most hypersonic platforms. Chimera doesn’t require rockets for acceleration. This makes it more practical for operational hypersonic flight, where aircraft can be turned around rapidly like modern planes today. 

Images: Hermeus/Artist’s conception 

The Chimera system makes the new advanced aircraft called Dark Horse possible. The Dark Horse is the new hypersonic reusable uncrewed aerial system (UAS). That system can transport satellites to the orbiter. But it can also operate at low altitudes. The Dark Horse would have military and civil missions. The Dark Horse could have vertical take-off and landing (VTOL) capacity. 

And it can be more advanced and include more tactical and strategic capacity. Than any other aircraft in the world. The hypersonic capacity makes it possible that Dark Horse can attack against hypersonic missiles. And it can have more reconnaissance capacity than SR-71. The Dark Horse can have more capacity if there is a scramjet engine in its body. The scramjet engines can be separately installed in Dark Horse's body. 

https://www.asdnews.com/news/aerospace/2022/11/18/hermeus-completes-hypersonic-milestone-with-engine-tests

https://www.hermeus.com/chimera

https://www.hermeus.com/press-release-tbcc-milestone

https://interestingengineering.com/transportation/chimera-hybrid-turboramjet-engine

https://newatlas.com/aircraft/hermeus-chimera-hypersonic-test

Brain inspiring computing: virtual neurons.

"One way race logic strives to save energy is by addressing the shortest-path problem. In one scenario, cars set off in multiple directions trying to find the fastest route. When the first car arrives, all the other cars stop, saving energy.Credit: B. Hayes and J. Wang/NIST" (Nist.gov/Brain-Inspired Computing Can Help Us Create Faster, More Energy-Efficient Devices — If We Win the Race)

When we select a route for data, we always select the shortest possible route. But what if there are two routes whose length is the same? That causes a situation in which the data packages that travel through those routes can reach the same point. At the same time. The situation is similar with two cars that reach at the same moment the same parking lot. That thing causes conflict in the system. 

If those cars are lorries, that must only deliver material to the house the system can tell that another driver can go to take some coffee. And the other car can deliver its cargo. In computer systems, the lorries are data packages. Cargo is data that the system must share with receivers. 

Virtual neurons are terminals that store information for a while. The purpose of information storage or parking is to deny the situation that two or more data flows from different sources reach the same CPU at the same moment. If the CPU is busy another data flow or data package must wait until the CPU is ready, or the system can stuck. 

There is one problem with the CPU. The problem is that the system can handle only one operation at a time. It is always possible that two data units are traveling through the system, reaching the CPU at the same moment. That thing causes a situation in which the CPU will get stuck. Solving this problem with single-processor systems is easy. When the system must detect an error. It simply sends the data in two routes. The other route is a little bit longer than the first route. 

The CPU compares those data lines identically. And in that version the longer route guarantees that the data lines reach the CPU at different times. But in morphing neural networks, there is the possibility that the other processor sends data accidentally into the one processor at the same time. That can stuck locally in large and complex systems. And in that case, the system must remove data from stuck processors. But that destroys data mass. 

In some systems, data travels through two data lines. Then those data lines send data through one CPU that compares those solutions. If solution or date flows are identical, there is no error. 

There is the possibility that two data lines can reach the comparing processor at the same moment. If the system uses two data lines in the data process. To avoid that situation the system must store the information for a while. The CPU uses a terminal where the data can wait until the processor is ready for the next operation. 

Another change is to make some data flows wait in terminals. The system loads data to the terminal. Data waits in those terminals until the CPU is ready for the next operation. When the CPU finishes operation. It sends information that it's ready. 

That other version uses terminal processors or intelligent terminals. The intelligent router can transfer information first to the terminal processors. In that system, the router can send data to terminals using those processors one by one. When the terminal gets the information it sends information about that to the router, which knows that the terminal is busy. 

When the CPU completes its mission it tells that to terminals, that they can send more data through it. The system can use TCP/IP to confirm. That data is not corrupted. In that process, the receiver sends information once back to the sender. Then sender confirms that the data is OK. And the sender can clear its memory. If there is an error, the system resends that data. 

The terminals have numbers and when the router sends data to terminal number one, it marks that in its memory. Then that router sends another data package to terminal number two etc.. The terminal sends information to the router when it resends that data to the CPU. 

https://www.nist.gov/blogs/taking-measure/brain-inspired-computing-can-help-us-create-faster-more-energy-efficient

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

The new brain-inspired computers are the tools that make new models for the AI.

The brain-inspired computer can revolutionize the spontaneously learning AI. The idea of brain-inspired computers is that those systems act like human brains. In human brains, neurons can connect and disconnect their connections. Every neuron involves a small data structure. When neurons make connections they connect those data structures. 

They form virtual neurons that can connect those data structures in billions of ways. Every data structure involves some skill. And why neurons remove the connections. That makes it easier to control that connection structure or neural network. The brain is the morphing neural network. That morphs its structures all the time. 

Above: Von Neumann architecture is used in binary computers. The brain-inspired structure can involve even billions of networked Von Neumann architecture structures. (Wikipedia, Von Neumann architecture) 

The biggest difference between brain-inspired morphing neural networks and traditional systems is this: in traditional systems, there is only one core, the CPU that processes information. The brain-inspired computers involve multiple CPU cores. The system can begin its data-handling process in multiple places in the morphing neural networks. The system changes its structure by activating and deactivating connections between  CPUs. 

Those computers, or rather brain-inspired systems can involve four types of systems. 

1) Virtual systems

2) Artificial neuron hardware

3) Biological microchips. 

4) Quantum processor-based artificial neuron network. 

In virtual systems, the AI connects and disconnects databases. Those databases are structures that can act like neurons. They can connect each other into the new entireties. And then they can disconnect those connections. In those systems, the system morphs that structure all the time. 

The artificial neuron network means that the binary computers or binary processors are connected into a structure. That is full of databases. In those systems, the single binary computer can control a limited number of databases. But those processors can form the large-size entirety. And those morphing systems play key roles in the drone swarms. 

The biological microprocessors. Biological microchips are computer systems that communicate with living neurons. Brain-machine interfaces (BMI) are a good example of the biochips. In some other systems, the microchip communicates with cloned neurons. The neurons are in cell cultures where they get their nutrients. Those systems are tools that are hybridizing brains and machines. 

If we look at the quantum processor-based architecture from outside. The system is similar to the binary artificial neuron-based system. However, the quantum-based architecture means. That the system is more powerful and more secure. 

The quantum system's weakness is that it can maintain quantum entanglement for only a short time. When both ends reach the same energy level. That breaks the quantum entanglement. 

Which denies the data flow between those particles. Sometimes the situation where both ends in quantum entanglement reaches the same energy level is called "filling". And before quantum entanglement fills, the system must transport information to some other system. 

In quantum processor-based architecture the system can use two- or more quantum processor groups. And when the quantum entanglement is turning critical in the first quantum processor. The system transfers data to the second quantum processor group. Data jumps between those two quantum processor groups. The system is like a seesaw. 

When quantum entanglement reaches the energy stability in the first system. The system transports data to the second system, where the data travels to the quantum entanglement. And then that entanglement starts to fill. The system must transport the data to the third system. 

Those systems are not lightweight. Because the quantum processors require massive cooling systems.  But maybe someday, the probes that travel to outer solar systems can use quantum computers. In that stable and cold environment, quantum systems can operate without those coolers. 

https://www.msn.com/en-us/news/technology/from-neurons-to-network-building-computers-inspired-by-the-brain/ar-BB1mTJkz

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

The Caltech new brain implant makes it possible to transform thoughts into writings.

 

"Scientists created a minimally invasive brain–machine interface using functional ultrasound (fUS) to accurately map brain activity related to movement planning with a resolution of 100 micrometers. Credit: Caltech" (ScitechDaily, Reading Minds With Ultrasound: Caltech’s New Brain–Machine Interface)

"The latest advancements in Brain-Machine Interfaces feature functional ultrasound (fUS), a non-invasive technique for reading brain activity. This innovation has shown promising results in controlling devices with minimal delay and without the need for frequent recalibration. Credit: SciTechDaily.com (ScitechDaily, Mind Control Breakthrough: Caltech’s Pioneering Ultrasound Brain–Machine Interface)

The Caltech researchers worked with the brain-machine interface (BMI) that uses ultrasound for reading the mind. And the new systems can make it possible to turn thoughts into text. 

Researchers at Caltech created a new AI-powered Brain Machine Interface (BMI) that can transform thoughts or EEG into written text. The term BMI is a synonym for the Brain-Computer Interface (BCI). Which means they are the same things. The Caltech advanced system makes the new types of language models possible. 

The researchers can connect brain implants with the language models. And then humans can control the language model using the EEG. The ability to transform thoughts into text allows us to make a new input method for the text. The system can input this text into the language model, which is another name for AI. 

"Schematic drawing of the lateral view of the left hemisphere and the position of the classic Broca’s area defined as encompassing Brodmann’s areas (BA) 44 (yellow) and 45 (blue)." 

"Broca's area (shown in red). Colored region is pars opercularis and pars triangularis of the inferior frontal gyrus. Broca's area is now typically defined in terms of the pars opercularis and pars triangularis of the inferior frontal gyrus. (N. F. Dronkers, O. Plaisant, M. T. Iba-Zizen, and E. A. Cabanis (2007). "Paul Broca's Historic Cases: High Resolution MR Imaging of the Brains of Leborgne and Lelong". Brain 130 (Pt 5): 1432–1441. doi:10.1093/brain/awm042. PMID 17405763.)" (Wikipedia, Broca's area)

"Broca's and Wernicke's area" (Wikipedia, Wernicke's area) 

Wernicke's area is located in the temporal lobe, shown here in grey. (Wikipedia, Wernicke's Area)

The brain implant that turns EEG into text is quite "easy" to make. The system must just follow the EEG in the Broca's area near the temple. The Broca's area is the area in the human brain that controls speech. 

The system must just transform the EEG to the text. When researchers teach that kind of system. They must connect EEG from the Broca's area to the right words. Then that system must write those words to the computer. The user can simply write words to the computer and then read them to the microphone. 

The system can see the EEG in Broca's area. Or the user can simply read words from the screen. Then the system sees how Broca's area changes the EEG. And then it connects that word with the certain EEG sequence. When the AI learns those things, it can transform to use imagined texts. And the user must not talk anymore. 

Two-way communication can created using tools. That connected to Wernicke's area which makes a person able to understand the impulses from the computer. 

This kind of system can control things like Human Universal Load Carrier (HULC) type robots that can help paralyzed people operate normally in everyday life. But those systems can also used to control cars and even aircraft. The next-generation jet fighters might have BCI/BMI user interfaces. Researchers are working with BCI/BMI systems that don't require surgical operations. 

https://tech.caltech.edu/2024/05/17/life-with-brain-implant/

https://www.iflscience.com/new-brain-implant-translates-imagined-speech-in-real-time-with-best-accuracy-yet-74205

https://scitechdaily.com/mind-control-breakthrough-caltechs-pioneering-ultrasound-brain-machine-interface/

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

https://en.wikipedia.org/wiki/Wernicke%27s_area

Harnessing the RNAi is the tool for next-generation genetic experiments.

"Alnylam Pharmaceuticals is translating the promise of RNA interference (RNAi) research into a new class of powerful, gene-based therapies. In this rendering, the green strand is the targeted mRNA, and the white object is the RNA-induced silencing complex (RISC) that can prevent the expression of the target mRNA’s proteins. The orange strand is RNAi. Credit: Courtesy of Alnylam Pharmaceuticals" (ScitechDaily, Harnessing RNAi: Alnylam’s Path From Lab Discovery to Life-Changing Treatments)

Harnessing RNA interference (RNAi) is the tool that makes next-generation, life-changing treatments possible. The other names for RNAi are co-suppression and post-transcriptional gene silencing (PTGS). And quelling. That thing makes it possible to turn genome silence like a programmer sometimes "kills code" in computer coding. RNAi is one of the most effective tools for genetic engineering. 

The idea of the RNAi is simple. The outside RNA will intervene in the genomes if there are some kind of genetic disorders. The RNAi can turn the genomes silent. That thing can make it possible to control the genomes, and that offers the possibility to gene new treatments for diseases like Parkinson's and schizophrenia. In that case, the system just makes those genomes silent. 

And genetic coding. If the medicine can turn the cancer genomes silent, that thing should remove cancer cells. The ability to turn genomes silent is one of the most interesting tools. And that is a good thing to control biological systems that produce things like medicines. The genetic code is the thing that orders cells to make things. When researchers transplant RNA into cells they reprogram it. If those cells produce some kind of antibodies, there must be something. That controls the process. By switching genomes on and off the system can control the antibody production. 

Theoretically, a werewolf can be a species that can turn human genomes silent. Or it can turn wolf genomes silent. That makes it possible to transform a human into a wolf or a wolf into a human. 

Theoretically, RNAi makes it possible to transform one species into another in a very short moment. In that model, the DNA of the species involves data of two species. When that species wants to transform into another, that requires that the species can turn the other species' genomes silent. 

If a human wants to transform themselves into wolves. Or wolves into humans. 

That species's genomes must involve both species' information. Then if the human wants to transform into a wolf, the system must just turn human genomes silent. And if the wolf wants to transform back into a human, the system must turn wolf genomes silent. 

https://scitechdaily.com/harnessing-rnai-alnylams-path-from-lab-discovery-to-life-changing-treatments/

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

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

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

https://en.wikipedia.org/wiki/Transcription_(biology)

The misuse of the AI is one of the biggest threats.

"Leading AI scientists have issued a call for urgent action from global leaders, criticizing the lack of progress since the last AI Safety Summit. They propose stringent policies to govern AI development and prevent its misuse, emphasizing the potential for AI to exceed human capabilities and pose severe risks. Credit: SciTechDaily.com" (ScitechDaily, Leading AI Scientists Warn of Unleashing Risks Beyond Human Control)

When we think about small, limited AIs that can used for commercial use, we sometimes forget, that those limited AIs can act as modules in large-scale AI. That means. Hostile actors can even steal things like Chat GPT and the Copilot AIs by making large groups of limited AIs. In those cases, the hostile actors interconnect those limited AIs under one entirety. 

AI is a tool that can generate many good things. But the same tool can create many bad things. AI-based image recognition is one of the tools. That can track terrorists. The same tool can also used to track protesters in non-democratic countries. The AI can also used to create computer viruses and surveillance tools. 

Those tools are good or bad, depending on how people use them. The user of the AI determines if is it good or bad. AI is an excellent tool for material research. Those materials are the tools that can used to create new stealth fighters and other kinds of things. And you can think what those things are in the wrong hands. 

The AI that controls cyber attacks is a tool that is quite hard for defenders. The AI can control computer groups. The AI  can change the attacking computer. That changes the attacking IP address all the time. That makes it difficult for defenders to block attacks denying the query. That comes from a certain IP. 

The attackers can use AI-controlled virtual actors to cheat people. The dead bots can also used to imitate people. Those things are the ultimate tools for phishing campaigns. 

The AI can make many things into the reality. And the AI-based systems can hack human brains. Things like Neuralink implants are made for good. They are meant to help people who have no hope. 

Those neuro-implants can someday control the exoskeletons or wearable robots that can carry paralyzed patients. The Brain-Computer Interface (BCI) is a tool that can control computers using EEG waves. Those systems can offer new ways to interact with robots. But if some hackers can break the BCI system, that can cause a terrible situation. 

But in the wrong hands that technology is devastating. The neuro-implanted microchips can control the entire person or some animals. So in the wrong hands, those things can open frightening scenarios in our minds. The AI can decode EEG. And that gives a chance to see what people think. This is one of the biggest data security problems with the BCI systems. 

https://scitechdaily.com/leading-ai-scientists-warn-of-unleashing-risks-beyond-human-control/

The AI is an excellent spy.

The AI can lie if programmers order it to do that thing. One of the biggest threats in the AI world is that somebody creates a copy of the well-known AI. And then, that actor turns the data traffic to that trusted AI's digital twin. The limited AIs can used as the modules that operate under one domain. The versatile AIs can act as attack tools. 

Or the digital twin of the well-known AI chatbots can used as the greatest honey pots in the world. The AI-based chatbot can store all queries that users make. And answers that they get in the mass memories. There the intelligence can analyze that data. 

The attackers may work for some governments. And if they can create a large number of limited AIs they can create the entirety that is the same way versatile as the Chat GPT or Bing. But the programmers can modify that thing into the cyber attack tools. 

When we talk about language models and especially network-based giant applications. There is always a small possibility that hackers create duplicates of famous artificial intelligence tools. In that case, the hackers can create the language model, that generates new types of malicious software. The hackers can double the data that travels in and out from the language models, and then they get confidential data about things. That is not meant for the public. 

Another problem is that it's possible to create the digital twin of the language models. The operators can create limited AIs. And then connect those limited AIs to the new entirety. In that model, the smaller AIs are the modules in the system. And making smaller AIs is possible to create a system that looks like the Chat GPT or Bing, and then those people can route traffic to that fake system. Those systems can modified to attack tools that can break any firewall or antivirus. 

The AI doesn't think as we think. That means the AI can tell lies if programmers order it to do that. The AI's answers are programmed in its code. The programmers can order the AI answer certain way to the certain questions. 

If somebody asks the espionage AI does it make some kind of data fishing? The AI can say that it will not make that. Even if its main purpose is to collect data from secured systems. The AI can give false information if that action is programmed for it. The AI can also create fake memories for itself. When we think about drones and robots the AI can clean the mission recordings and then replace that data using some other drone's mission records. So the AI remembers what its users want. 

https://www.sciencealert.com/ai-has-already-become-a-master-of-lies-and-deception-scientists-warn

Underwater microrobot swarms are coming.

"Innovative microrobots designed to mimic natural swarms can effectively remove both microplastics and bacterial contaminants from water, offering a reusable solution to water pollution. (Artist’s concept.) Credit: SciTechDaily.com" (ScitechDaily, Microrobots Swarm the Seas, Capturing Microplastics and Bacteria [Video])

Microrobots are the next-generation tools for civil and military purposes. Microrobot swarms can clean water by collecting poisonous chemicals from water. Microrobots can colect oil and platics. They can capture bacteria from wastewater. 

 In some models, the microrobot can carry a filter system.  Those microrobots can be quadcopters that can operate airborne and underwater. The microrobots can filter the air the same way. They can pump polluted air through filters. And that can be useful at least in closed spaces like rooms. 

The robot drives polluted water through that filter. The filter can separate microplastics from water. Or the robot can act like a pelican fish. And that allows them to open their "stomach" and collect that oil from water. The microrobots can also map sealife and magma eruptions. They can go to places that are too dangerous for humans. 

Those systems can follow the whales and then map those animal's communication. The microrobots can slip into shipwrecks and even animals' stomachs. There, machines can research what those animals eat in the natural environment. And they can take samples from deep sea animal tissues. 

In the world of intelligence and military. The micro drone swarms can operate in recon and attack roles. Microdrones can protect naval bases and all other important targets. In those cases, the microrobot swarms can wait at the bottom of the sea, and then they can deny the attempts to enter the base. 

Microrobots can connect to the communication antennas and resend data transmission to the opponent. The microrobot can also hang a submarine's shell and send tracking signals. Micromachines can carry explosives or acoustic devices that can make small holes into the submarine's shell or damage its propellers. If the micromachine makes a centimeter hole in the submarine's hull at 500 m depth. Water pressure can break the shell. 

The microrobot swarms can make the Status-6 nuclear torpedo look like a toy. 

But the microrobots can act as devastating weapons. Underwater microrobots can carry plutonium and lithium-deuteride. When those drones get the order, they can drive themselves together. That thing forms a critical mass. And it can cause the ultimate destruction. The modular hydrogen bombs are machines that the microrobot swarms can turn into reality. 

https://scitechdaily.com/microrobots-swarm-the-seas-capturing-microplastics-and-bacteria-video/

The AI can make custom medicines. But it must see the system, that it can manipulate it.

"Researchers at UC San Diego have created a machine learning algorithm, POLYGON, which enhances early drug discovery by simulating complex chemistry, thus accelerating the development process. This AI tool not only identifies candidate drugs quickly but also focuses on multi-target molecules, potentially reducing side effects seen in traditional combination therapies. Credit: SciTechDaily.com" (ScitechDaily, AI Transforms Drug Discovery With Faster, Safer Cancer Treatments)

"The researchers trained POLYGON on a database of over a million known bioactive molecules containing detailed information about their chemical properties and known interactions with protein targets. By learning from patterns found in the database, POLYGON is able to generate original chemical formulas for new candidate drugs that are likely to have certain properties, such as the ability to inhibit specific proteins." (ScitechDaily, AI Transforms Drug Discovery With Faster, Safer Cancer Treatments)

The AI can make customized medicine production possible. The AI can observe molecular interactions and physical-chemical environments with outstanding accuracy. The system can scan the DNA and search for similarities from multiple sources. That allows researchers to compile the DNA and find the similarities between multiple people, but that thing can also cross the species's border. 

When the AI searches for medicine against bacteria or cancer cells, it can find weak points in the other cells' DNA by compiling the chemical code of those cells. The system can use mRNA bites that order those cells to die, or the system can target radiation or acoustic devices into those cells. The acoustic or photo-acoustic systems can break protein fibers. 

The acoustic system can create pressure tunnels in cells or the light can vaporize water in the cells. That thing can form hydrostatic pressure waves in that cell.  In some models, nano-springs. Along with ion systems can send very fast crystals to targeted cells. And that forms pressure waves that destroy those cells. The nanomachine can break the protein shell of the cell. 

But if the system wants to manipulate molecules or other structures, it must see those things. The machine vision must be so effective, that it can follow the movements of the near atom-size particles. The AI and machine vision must also control things like energy levels and energy impacts on the system. In machine vision, the system drives data. That its sensors collect into mass memories. 

The thing, that makes machine vision hard to make is: that the AI must know how it reacts when it sees some object. The AI must know the name of the object, it must know what to do. The problem is this, the AI must connect observation with action. In the case of the AI, the computer must recognize objects. That it sees. Then it must find the database that involves the right action. 

"Harvard researchers have innovated a compact, single-shot polarization imaging system that simplifies traditional setups and expands applications in medical, AR, and smartphone technologies, enhancing real-time and machine learning-integrated imaging capabilities. Credit: SciTechDaily.com" (ScitechDaily, New Harvard Technology Paves the Way for Advanced Machine Vision)

The machine vision is not like the human eye. The robot can connect itself to outside surveillance cameras. Those cameras give the robot the ability to see itself from outside. That thing gives robots the ability to maneuver and predict situations better than any human can do. However, the system must recognize those situations so that it can react in the right way. 

Machine vision faces similar problems all the time. Without depending. Does the system control some molecular actions or robots that walk on streets, it must know how to react in cases when something happens suddenly. If the system extremely long peptides within hours, and something unexpected happens, the AI must react to that thing. Or the entire process is a waste of time. 

Same way. If a robot car travels on the streets and something happens, the system must react the right way. 

In normal situations, the vehicle must stop in the case of danger. But what if a robot vehicle faces robbery? What if some violent person attempts to stop the robot vehicle? In those special cases, the AI must react otherways than usual. 

Those special cases are challenging things for programmers. The programmers must describe situations where, for example, an armed person tries to stop a vehicle. Then the programmer must separate situations, if the person who wants to stop is hostile, or if the policeman wants to stop the vehicle. 

https://scitechdaily.com/ai-transforms-drug-discovery-with-faster-safer-cancer-treatments/

https://scitechdaily.com/new-harvard-technology-paves-the-way-for-advanced-machine-vision/

https://scitechdaily.com/pioneering-crispr-gene-editing-trial-79-of-participants-see-improvement/

Light can vaporize water without heat.

MIT researchers found a new photo-molecular phenomenon. That light can vaporize water without heat. There has been suspicion that this kind of phenomenon exists. But this is the first evidence of that phenomenon. Light inputs energy into atoms, and then those atoms release extra energy into their environment. 

Photo vaporization releases vapor from the water surface. Atoms release energy that they get into another atom. At the point of the surface tension, the water molecules resonate when light inputs energy to them. That forms standing waves between those water molecules, and then that energy starts to drive water molecules up. This effect is possible if the light affects all water molecules on the surface. In that case, there is no space where energy can travel. 

Developers can use photo vaporization to make purified water. 

That effect makes space around the atoms. And it separates water molecules from their entirety. The effect. Where light vaporizes water without heat looks a little bit like a photovoltaic phenomenon. This effect can help to determine the age of the icy shell of distant moons. A similar effect should happen when radiowaves hit the ice. 

If visible light can vaporize water, that phenomenon can used to produce a very low-pressure gas. In that process, the ice is in a vacuum chamber and that light effect will separate a couple of molecules from ice. This phenomenon can used to calculate the changes in the electromagnetic environment in distant moons. 

This effect can also escalate to other wavelengths. And maybe this effect explains why some very cold moons like Triton have thin atmospheres. Gas pressure on Triton is very low. It's between 1 and 2 pascals. 

Mainly that atmosphere includes nitrogen, methane, and carbon monoxide. The last gas can form when radiation pushes oxygen and carbon atoms together. An interesting thing about that atmosphere is that the gas that forms it is in a condition that looks like quantum gas. The distance between atoms and molecules is very long. 

When radiation hits those atoms they send radiation that travels longer than on Earth. The low-pressure gas is the tool that makes atomic microscopes possible. Also, the low-pressure gas can measure similar gas atoms from distances. If there is a low-pressure oxygen gas in the chamber, another oxygen atom sends radiation that causes resonance in those low-pressure atoms. 

https://scitechdaily.com/mit-uncovers-photomolecular-effect-light-can-vaporize-water-without-heat/

https://en.wikipedia.org/wiki/Triton_(moon)

The new technology boosts quantum computers and quantum stealth systems.

"Researchers at NYU Abu Dhabi’s Photonics Research Lab have developed a new two-dimensional material that can precisely manipulate light, promising enhancements in bandwidth for communication networks and optical systems. This breakthrough in tunable optical materials demonstrates potential applications in environmental sensing, optical imaging, and neuromorphic computing. (Artist’s concept.) Credit: SciTechDaily.com" (ScitechDaily, Revolutionizing Photonics: 2D Materials Manipulate Light With Remarkable Precision)

New technology allows systems to manipulate light with very high precision. That technology allows to creation of new types of stealth systems and new types of quantum computers. The same counterwave technology that operates in stealth systems can protect the quantum computers against disturbance. The 2D quantum surface can create counterwaves that deny electromagnetic radiation reach the quantum entanglement. 

The new fundamental research allows the 2D quantum metasurface can manipulate light with a very high accuracy. The waving 2D metasurface can send counterwaves that can make light unable to reach the surface. Counterwave technology makes it possible to create structures that give minimum or even deny the reflection from the surface. 

If the counterwaves that hit the incoming wave movement have the right power, that denies incoming electromagnetic waves reach the shell. The system must use a model that impacts counterwaves and drives incoming electromagnetic waves in a certain direction. That reflection direction must be somewhere else, where the electromagnetic wave arrives. The system can drive electromagnetic radiation around it. And that denies the sensor to see the object. 

"TU Darmstadt researchers have developed a quantum processor with over 1,000 atomic qubits, marking a significant advancement in quantum computing scalability. This breakthrough could enable the future expansion of qubits to 10,000, enhancing various technological applications." (ScitechDaily, Over 1,000 Qubits Achieved – Physicists Set World Record for Atom-Based Quantum Computers)

When we think about stealth, counter-stealth, and other kind of technical solutions. The compact quantum computers make it possible to control materials by using advanced AI. 

In some models, the regular-looking aircraft can turn stealth if the system allows radio waves can travel through the shell into the center of the craft. Those electromagnetic waves can be collected in the middle of the structure, and then maser technology drives those waves in one direction. That denies the electromagnetic waves' reflection into the sides of the structure. But the ability to manipulate light makes it possible. That the system could theoretically turn invisible to the human eye. 

The new 2D materials allow to creation of new types of quantum computers. The system can take atoms in the net of 2D material. Then the system pushes those atoms in flat form. After that, the system makes the quantum entanglement between electrons that the system presses into a layer, and drives a laser beam in those trapped atoms. Those structures allow the quantum computer can create qubits with even billions of states. 

"In a large quantum system comprising many interconnected parts, one can think about entanglement as the amount of quantum information shared between a given subsystem of qubits (represented as spheres with arrows) and the rest of the larger system. The entanglement within a quantum system can be categorized as area-law or volume-law based on how this shared information scales with the geometry of subsystems, as illustrated here. Credit: Eli Krantz, Krantz NanoArt" (ScitechDaily, How MIT Is Redefining Quantum Computing With New Entanglement Control)

A key element in quantum computing is how to drive information into particles, which the system should put into superposition and entanglement. The quantum computer is useless if it cannot drive information into those particles. 

The new way to make the quantum entanglement makes it possible for the quantum systems can interconnect qubits in the 3D structures. The system is a network where the system can maintain quantum entanglement for a longer time than before. 

The system uses technology where the receiving participants in quantum entanglement can push information into another particle before quantum entanglement reaches the same energy level. If the system can create a structure where quantum entanglement can jump between quantum dots, that thing is the biggest breakthrough in quantum technology. 

https://scitechdaily.com/how-mit-is-redefining-quantum-computing-with-new-entanglement-control/

https://scitechdaily.com/over-1000-qubits-achieved-physicists-set-world-record-for-atom-based-quantum-computers/

https://scitechdaily.com/revolutionizing-photonics-2d-materials-manipulate-light-with-remarkable-precision/