The new memristor-based RISC systems. They can create models of human brains.

“A new memristor chip reconstructs intricate brain surfaces at near-biological speed. Credit: Stock. A memristor chip. It brought complex brain modelling into millisecond-scale operation. While preserving detailed cortical structure.”(ScitechDaily, Scientists Develop a Groundbreaking Chip That Operates at Brain-Like Speed)

“Reconstructing the brain’s deeply folded surface in real time requires enormous numbers of calculations. Researchers in China have now developed a chip that performs this work in less than 10 milliseconds. A speed, they say. It is comparable to the human brain’s functioning pace.”(ScitechDaily, Scientists Develop a Groundbreaking Chip That Operates at Brain-Like Speed)

We all have our vision of RISC (Reduced Instruction Set Computer) systems. We see those systems as controlling CAM (Computer-Aided Manufacturing) systems. Like. Computer-controlled lathes. The reduced instruction set makes those systems more limited. But faster than regular computers. 

“In electronics and computer science, a reduced instruction set computer (RISC, pronounced "risk") is a computer architecture designed to simplify the individual instructions given to the computer to accomplish tasks. “ (Wikipedia, Reduced instruction set computer)

“Compared to the instructions given to a complex instruction set computer (CISC).  RISC computer might require more machine code to accomplish a task because the individual instructions perform simpler operations. The goal is to offset the need to process more instructions by increasing the speed of each instruction. In particular. By implementing an instruction pipeline, which may be simpler to achieve given simpler instructions.” (Wikipedia, Reduced instruction set computer)

But modern RISC systems are more complicated than some computer-controlled lathes. Those systems. They can control civil and military robots and drones. The newest RISC systems and RISC architecture. They can model brains in a very short time. 

"Overview of NDS hardware with multilevel and fine-grained CCD memristor. Credit: Peking University"(ScitechDaily, Scientists Develop a Groundbreaking Chip That Operates at Brain-Like Speed)

The new microchip that uses memristors brings brain modelling in milliseconds. This chip still retains the cortex’s simple structure. This new microchip is the tool that beats ASIC circuits. That means application-specific integrated circuits. This new circuit can keep the brain structure. Topologically logical in simulations. “The researchers tested the chip by reconstructing the boundaries of the brain’s white and grey matter and producing 3D manifold-based surface meshes in real time. The resulting cortical surfaces were smooth, closed, and topologically consistent while preserving the brain’s intricate folds.” (ScitechDaily, Scientists Develop a Groundbreaking Chip That Operates at Brain-Like Speed)

“The researchers tested the chip by reconstructing the boundaries of the brain’s white and grey matter and producing 3D manifold-based surface meshes in real time. The resulting cortical surfaces were smooth, closed, and topologically consistent while preserving the brain’s intricate folds.”(ScitechDaily, Scientists Develop a Groundbreaking Chip That Operates at Brain-Like Speed) These kinds of systems can serve in Alzheimer's and Parkinson's research. They can also operate as simulators. They show how medications affect the brain. These kinds of RISC systems can be interesting tools. 

For making. Models of other organs and structures. RISC processors are systems. That developed. For certain. Specific operations. RISC processors can process data more effectively. But the big difference is this. Those systems have their operational code inside them. 

Than computers. Computers. Must exchange information between the processor and the application all the time. RISC systems. They don’t need special applications. Many operations are programmed. Straight. Into the chip. Or those actions are stored in ROM circuits. And that makes it more effective. The minus is that the computer. It's slower than a RISC processor. That is created for one specific purpose. RISC systems. They could simulate things like nuclear reactors. The system can use a similar codebase. As. This Chinese brain simulator uses. The system could be much faster. Than. Regular computers. 

The most widely used RISC systems are pocket calculators. Those systems are limited only to solving mathematical problems. The high-speed RISC processors can be modified NVIDIA A-series circuits. They can act as tools. They can calculate things like the Riemann conjecture with supercomputers. The system requires those prime numbers for the encryption and decryption process. The RISC simulator can operate along with submarine and aircraft computers. The system can compare the predicted and calculated values with the real values. Those RISC systems can also control the thermal effects of the superconducting systems. 

https://scitechdaily.com/scientists-develop-a-groundbreaking-chip-that-operates-at-brain-like-speed/

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

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

Frozen light and quantum materials.

"Artist impression of a frozen optical fiber core in a glass capillary, which guides and couples light and sound waves efficiently. Credit: Philipp Denghel" (ScitechDaily, A Fiber Frozen at -196°C Unlocks a New Way To Store Light)

This system is the new form for optoacoustic systems. The light controls sound waves. When. Light hits the glass. It. Causes sound waves.  The sound wave forms when the structure absorbs light energy. 

Optoacoustic systems. They can be used as extremely accurate loudspeakers. And they can also be used in sharp sonars. The same systems can also be used in biomimicking neural networks. In those systems, pressure waves. They can also control light. And that makes this technology. Very interesting and suitable for photonic computers.  

Frozen light and room-temperature quantum technology. They can open a new path for photonic computers. Researchers are freezing fiber at -196 C. That allows light to be stored so that it can keep its form. The 100% reflecting mirrors. And material that doesn’t absorb radiation energy. They can make it possible to store light in its form. There, it is driven into that system. 

This makes it possible to create data storage. Their data is stored in the photonic beam. And that system makes it possible. To create the ultra-secure photonic USB. With this type of memory, they could make photonic computers a reality. If. Some unauthorized actor tries to open the optical USB stick. That uses the frozen light beam as the data storage. That attempt destroys the data. 

And the photonic computer. It can port information into them. In. The form of frozen light. This removes the electric layer between that data storage and computer. 

An ability to store information in a frozen light beam.  It makes it possible. To create photonic RAM and ROM memory chips. The problem is that the system requires massive coolers. That decreases the temperature to a level at which oscillation in those optical fibers ends. That oscillation is the thing that disturbs the light beam. And destroys information. The optical mass memory works like this. The light beam is frozen between 100% reflecting mirrors. 

When another mirror is open. This. Releases the laser beam. And the system can process that data. In some futuristic movies. This technology. It makes it possible. To create laser bullets.

The laser bullet works. With a similar principle. To optical mass memory. The high-power laser beam is trapped between 100% reflecting mirrors. If. The system does not absorb the radiation energy. This makes it possible to store high-energy laser beams in those structures. When. They hit the target. They release that laser beam. If. That laser beam is released in an optoacoustic structure. That can cause an extremely strong pressure effect. 

The new room-temperature quantum materials make it possible to scatter and sort light. That ability makes it possible to create new types of communication and stealth tools. The optical stealth works like this. The material pushes light away from its shell. It causes light waves to move around it. The system must use precise, right energy. 

If. The pushing energy is too high. The system causes normal reflection. That means the optical stealth must use energy that creates the standing wave. That drives light into the wanted direction. 

The room temperature quantum heat waves. They can make it possible to focus energy precisely into the wanted point. That makes it possible to create quantum communication systems. These are secure and energy-friendly. The system can use a certain form of information in data transmission. If. Data travels in quantum particles that have an “X”-shape. The system sees the shape of those particles. And if that shape is changed. That means that somebody tried to steal information. 

In. Communication. Energy-friendly means the same time security. If. The system can use a minimum energy level and focus information precisely into the wanted point. That makes it harder to capture signals. The attacker captures data from the spread signal. That travels past the receiver. If. Links use optical or radio-maser technology for transmitting data. That makes it harder to capture signals. 

Highly precise maser technology. It. Makes it possible. To create transmitter-receiver pairs. There are no spread signals. If. The intelligent system knows the transmission power. And it knows the natural power loss. The system knows when somebody tries to steal data. When. An attacker steals data. 

This action causes a change in the system’s energy fields. The system knows what energy level of received signals should be. If. That energy level is different from the calculated one. That causes suspicion of the attack. Natural phenomena always repeat in the same way.  They cause similar effects in their environment. 

AI can calculate the effects of natural phenomena on data transmission. And if there are changes, that tells. That somebody attempts to steal data. This requires complete knowledge of the system. That means that all data must travel between links. Can we someday reach this ideal situation? If data travels in nanotubes and a controlled environment. That is possible.  Maybe new quantum systems. They can make this possible. Also. In a natural environment. 

https://scitechdaily.com/a-fiber-frozen-at-196c-unlocks-a-new-way-to-store-light/

https://scitechdaily.com/quantum-heat-waves-spotted-at-room-temperature-for-the-first-time/

https://scitechdaily.com/worlds-first-room-temperature-quantum-material-sorts-light-in-an-unprecedented-way/

New alloys and graphene. They can revolutionize thermal control.

The Sierra Space Corporation’s Dream Chaser. And Boeing’s X-37B are the pathfinders for next-generation space technology. They are also the response to Chinese Shenlong and larger Haolong space planes. 

The new materials can transform aviation forever. New graphene and metal alloys make it possible. For. Create structures that withstand mechanical stress and heat at new levels. The 3D-printed graphene filament is delivered over the surface. 

It can give 50% higher impact strength. 3D printer technology. It makes it easier to cover large areas by using graphene filament. 

For that structure. Those filaments can boost the development of new armours. And they can be used in all vehicles, from drones to satellites. The graphene filament can turn things like bullets highly penetrating. Those new materials can make hybrid structures. The graphene filament. That is on the alloy. It can be used in high-temperature technology. That technology opens a new path for nuclear systems and high-temperature structures. 

There are space planes like X-37B. But the problem with those systems is this. They are quite small. They use regular rockets for lift-off. And that means they are noisy. But the larger-sized space planes that the high-flying stratospheric drone takes to high altitude. They can solve those problems.  Stratospheric drone. It can use a regular turbojet. With. An internal oxygenizer. Those drones can carry the space plane to the edge of space. There it can be launched. But the larger systems. They have more capacity. The X-37B is a robot spacecraft. Because. Of its small size. The future Dream Chaser has two variants. Unmanned cargo. And a manned version. That spaceplane will be launched in late 2026. 

If. The Sierra Space Corporation's plans stand. And there are no technical problems. 

Those alloys are necessary. In R&D work. For creating new types of hypersonic vehicles that must face very high thermal loads. Those materials are also important for creating new space planes. That can operate from regular runways. Or even by using VTOL technology. The VTOL spaceplane. It could use the jet engines under its belly to rise from the ground. Or the system can use large quadcopters or high-flying drones for that work. Those drones raise the aircraft to the high atmosphere. And then it can release it. The jet engines will accelerate it to speed. That is about Mach 1. 

The Boeing X-37B. 

Shenlong below Harbin H-6. About 5 years ago (Internet)

“An illustration of China's robotic Shenlong space plane above Earth. (Image credit: Erik Simonsen/Getty Images)” (Space.com)

“© The Daily Galaxy --Great Discoveries Channel - 32 Feet Long, 26 Feet Wingspan, and Under 7 Tonnes: Meet Haolong, the Future Chinese Cargo Spacecraft” (The Daily Galaxy)

“A US-built 3D printing system designed to manufacture aerospace-grade parts wherever they are needed is getting a materials upgrade that could make printed components lighter and stronger.” (Interesting Engineering)

And then it can launch ramjets. Or the system. It can transfer to use rocket engines when turbojets raise it high enough. The system can also use the existing technology. Their regular aircraft raises that space plane to the high atmosphere. The system can carry it under the wing. Or on the back. Or the jet fighter. It can pull that rocket plane behind it. Then that jet fighter makes the ballistic jump. But the problem with the space planes is not their price. The problem is in their heat stress. The space shuttle used ceramic structures. That binds the thermal energy.

But the problem was that some of those ceramic bricks were single-use. This means that. The crew must remove and glue the new bricks to replace the used ones. The function of those bricks is based on that. When they evaporate, they transfer energy out from the space shuttle’s body. The accident of the Columbia Shuttle. It was caused by damage in one of those bricks. The heat drilled itself. Into. The body of the shuttle. And then a hole formed. And air pressure made the rest. Causing seven deaths. This is. One of the examples of why. Those space planes are so hard to make. When we think about causes like the X-15 and SR-71. Engineers used titanium in their bodies. But those planes required full-scale checks after the flight. 

One model. That can make rocket aircraft and spaceflight everyday work. It could be the active cooling system. The cooling system can involve a thermos bottle of low-temperature gas. The gas, or so-called Bose-Einstein condensate, will be released to the spaceplane’s shell. To cool the structures. The core of the spaceplane. It can be equipped with tubes. There, that very cold material can move. When the system sees that the temperature rises too high. 

Condensate. It will be released. When the craft is on the ground, engineers can change that thermos bottle. Or. They can fill that bottle with a new ultra-cold condensate dose. The ultra-cold condensate. It can fit in a quite small space. And it can be used for cooling the shell. And if the spaceplane does not travel back and forth between orbit and atmosphere. There is no need to store a lot of condensate. The ultra-cold condensate that cools the structure. It can also decrease the hypersonic missile IR signature. 

Those kinds of active cooling systems. They can make aircraft and missiles capable of traveling faster than ever before. 

https://dailygalaxy.com/2024/11/haolong-future-chinese-cargo-spacecraft/

https://interestingengineering.com/military/china-alloy-withstands-extreme-heat

https://interestingengineering.com/innovation/us-built-3d-printer-graphene-filament

https://www.space.com/space-exploration/launches-spacecraft/chinas-mysterious-shenlong-space-plane-recently-launched-on-its-4th-mission-what-is-it-doing-up-there

https://en.wikipedia.org/wiki/Boeing_X-37

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

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

Humanoid robots are perfect companions and bodyguards.

Scientists restored the sense of touch. By using brain simulation. Stimulation was created. By stimulating the right brain areas with electric impulses.  This operation. It was performed. To a patient who had a spinal cord injury. This technology. It could be an interesting tool. The sense of touch. By using electric brain stimulation. It creates new possibilities for injured people. That technology. It could be connected to bionic limbs. 

This technology can make it possible to control robots by using brain waves. Those robots can act as external bodies for people who need them. That kind of ability can also make it possible for people who need extreme accuracy in their work. The surgeon who uses that system gets better touch with the instrument. If. That person uses a remote-controlled robot as a surgeon. That tool can save lives in remote areas. In the same way, people. 

People can use humanoid robots as their assistants. Those robots can be operated over the net. And that allows the user to stand on the other side of the planet. And then make things like repairs using humanoid robots. Virtual reality and brain-computer interface. They can help. To control robots. They are another body for the person who has access to those systems. The humanoid robots. They can do many more things. Than humans. If there are different people. Who control those robots. The mechanic, gardener, and doctor. They can have access to the same robot body. Those systems can be suitable for remote areas. Or in dangerous situations. 

But the AI is a tool that can make those systems do much more. The AI. It can create synthetic EEG curves. And that system. It can create a sense of touch for virtual reality. This can give a full-scale experience. While. A person is in virtual reality. The person who has these kinds of systems. They can get a 100% real-feeling experience from virtual reality. This ability is the tool. That can revolutionize things like training. In the same way. As the sense of touch, all other senses. 

They can be transmitted to the BCI user. And that means that the robot body. It can operate as the external body. That can assist people. This kind of system. It can be the next-generation butler.  But we know that China and even North Korea are interested. About the robots. That mimic people. Those humanoid robots. They can be perfect companions. But they are also perfect surveillance tools. 

Moya Robot. 

The new Chinese AI-controlled biomimetic robots. They look shockingly human. And we know the Chinese government is invested in those biomimetic robots. And. Robot insects. So we must understand those systems. They have always had a role in military, security, and intelligence operations. Programming determines the skills that robots have. And things like shadow protocols. They are tools. That can turn a nice nurse-robot into a security operator. When. Those robots see something. That risks the patient or person that they must protect. Those robots can activate the protection mode. 

The human-shaped robot. It can get any person’s face. So, there is a possibility. That. The person will be replaced. By. This type of humanoid robot. And we know that humanoid robots. They can even make kung-fu matches. Those flexible systems. They can be perfect companions. And. At the same time. As perfect bodyguards. But they can also be perfect tools for controlling people. The fact is that. Robots that the AI controls. 

They follow the rules of AI. So, those robots. They are not thinking. They have no conscience. They follow their algorithms and operators' orders. So, that means. If. Those people. They try to escape. Those robot butlers. They can stop that attempt. This means that those systems. They can be perfect agents. They can deny that person’s escape. And they can be perfect undercover operators. Those robots can also listen to what people talk about. And report those observations to the secret police HQ. 

The humanoid robot that looks like a human. It can turn dangerous. In the case that the producing country turns into conflict with the country where those robots are used. In that case, those AI-controlled biomimetic robots can be reprogrammed. Those robots. They can also operate as guards. 

https://edition.cnn.com/2026/06/30/tech/china-humanoid-robot-ai-rental-intl-hnk-dst

https://interestingengineering.com/ai-robotics/shanghai-unveils-moya-humanoid-robot

https://www.msn.com/en-xl/technology/robotics/humanoid-robots-battle-inside-cage-at-china-s-first-ever-robot-fighting-league/vi-AA28s8AW?ocid=BingNewsSerp

https://scitechdaily.com/scientists-restore-the-sense-of-touch-with-electrical-brain-stimulation/

https://www.theresearchers.us/2026/02/06/china-ai-robot-moya-humanoid/

Autonomous drone technology is advancing.

Drones are game changers in the Ukrainian conflict. Their R&D cycle is so short. That things that had top priority a couple of months ago. They can become old-fashioned in a couple of months.  We know that without drones. Ukrainian defence would fall. The new autonomous, AI drones are now in use. Autonomous AI-controlled drones are the new tools for military and other systems that must operate in places. There.  EM radiation can disturb control signals. The optical wire-controlled drones are effective. But their optical wire causes limitations. In the worst cases, those wires can be spotted. And the laser systems or drones. The mechanical cutters installed can cut that wire. The wire-controlled drone. It also has limits in its operational range. 

The independently operating drones that can use AI to search and destroy targets are the new tools. The independently operating drones can be like full-size aircraft. Or some other vehicles. Drones. They can transmit reconnaissance data. During their flight to the target. They can also be used to transmit data. About the radars and target detection routines of the anti-aircraft systems. 

The first independent fighter drones made their debut. In combat exercises. Those “Ghost Bat” drones. They are the first public versions of the AI-driven systems. The AI-driven long-range stealth drones. They can be the response to the extremely long-range operations. Like Iranian nuclear facility destruction. The B-2 bombers. They made that mission. In a 36-hour operation. There, they dropped GBU-57MOP bunker-buster bombs on those targets. Those MOP bombs. They can also destroy nuclear missiles in their silos. 

The AI-controlled jet fighters. They can make those systems. More surprising than ever before. The AI-controlled systems. They can make kamikaze attacks. And they have the ability to make air-combat manoeuvres during those operations. Data that those drones share.Can be used to train AI. Training AI pilots can be done by using simulators. The simulator operators create tactics and manoeuvres that are suitable for any situation. The AI that operates aircraft is quite easy to train. 

A normal flight combat simulator. It can be used as an interface that trains those drones. AI can give a new dimension. To the loyal wingmen drones. Those drones. They could act as jet fighters. But they could also act as missiles. Same way as aircraft. Naval vessels can get a seaborne version of those loyal wingmen. This means that submarines and surface ships can be escorted by kamikaze boats or small underwater kamikaze drones. The kamikaze drone boats. 

Electric-powered versions of drones. They could operate under and above the surface. The nuclear batteries. They can give all surface-, underwater. And airborne vehicles unlimited operational time. 

They can also escort any surface vessel. Things like RTG (Radioisotope Thermoelectric Generators) give underwater and other drones virtually unlimited operational range. Transforming some Shahed-type drones into RTG-powered drones is not very difficult. The drone requires a nuclear isotope battery. Those drones might not make attacks. Or they can carry missiles and drones under them. Even if those drones are slow. They might not be easy targets. Stealth technology makes them invisible to radar. So. Small-sized RTG-powered drones. They can operate unseen in hostile airspace. 

And an electric engine. It could carry an attack drone under it. The problem. It is that. If those nuclear batteries fall into the wrong hands. That radioactive material can turn dangerous. But the RTG is a suitable powerhouse. For the nuclear-warhead torpedoes. And the nuclear-powered airborne drone. It can turn. To use a jet engine when it must make an attack. The nuclear-powered reconnaissance drone can operate indefinitely. But attack drones must have conventional engines. Unlike nuclear reactor-based technology. 

The RTG is suitable for high-flying stealth drones. They don’t leave a radioactive trace behind them. Those drones don’t need oxygen. The nuclear-powered drone can fly at very high altitude. Even if aerodynamic controls don’t work. The drone. It can glide to lower altitudes.

The larger-sized drones can carry smaller drones. And the new tools are the underwater drones. The underwater drone can conduct reconnaissance and intelligence missions in enemy areas. Those drones can also protect larger submarines. When we think about underwater. Long-range nuclear torpedoes. Those weapons are not always 50 megaton-class. The 10-15 kt warhead . It makes it possible. To create an unmanned system. That fits into the torpedo tube. 

Small unmanned drones can escort larger submarines. When something threatens those submarines, those underwater loyal wingman drones. They can attack that threat. Those drones. They can use hydrogen-oxygen. Air-independent power sources. That system uses bottled hydrogen and oxygen in its power cells. 

And they can carry other drones. Those drones. They can make operations into hostile harbours. And then they can cause damage to the larger vessels' hulls. In the case of submarines, even a small hole. In its pressure hull can turn devastating. In the same way. Stealth aircraft, along with supersonic- and hypersonic systems. They are more vulnerable than old-fashioned systems. 

https://www.autonocion.com/us/america-drone-submarine-torpedo-tube/

https://www.bbc.com/news/articles/cdjp0n7rn41o

https://interestingengineering.com/innovation/us-darpa-retrofit-f16-for-autonomous-flight

https://interestingengineering.com/military/china-truck-mounted-electromagnetic-catapult-drones

https://militarywatchmagazine.com/article/ukraine-fp9-threat-russian-cities

https://www.twz.com/air/massive-chinese-stealth-flying-wings-spotted-together-at-secretive-drone-test-base

https://www.twz.com/air/mq-28-ghost-bat-drone-debuts-in-large-force-combat-exercise-in-the-pacific

https://www.twz.com/air/pocket-fleet-of-mq-1-predators-still-serving-navy-test-community

https://vivatech.com/news/autonomous-drone-technology-uses-benefits-and-future-impact

https://www.twz.com/sea/kamikaze-drone-boats-used-by-u-s-in-combat-for-the-first-time

https://www.twz.com/sea/ukraine-lands-armed-robot-ashore-in-russian-held-territory-via-drone-boat

https://en.wikipedia.org/wiki/GBU-57A/B_MOP

https://en.wikipedia.org/wiki/Poseidon_(unmanned_underwater_vehicle)

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

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

The world's first superconducting quantum heat engine is real.

“Artistic impression of a superconducting quantum heat engine. Credit: Heikka Valja / Aalto University”  (ScitechDaily, World’s First Superconducting Quantum Heat Engine Could Transform Quantum Computing) 

Finnish researchers have created the first quantum heat engine. “Researchers at Aalto University have built the first cyclic quantum heat engine inside a superconducting circuit. The device uses a qubit, the basic unit of quantum information, as its working substance and repeatedly drives it through heating, cooling, and energy conversion.” (ScitechDaily, World’s First Superconducting Quantum Heat Engine Could Transform Quantum Computing) 

“Quantum heat engines have previously been demonstrated with systems including trapped ions, atomic gases, nuclear spins, and defects in diamonds. Superconducting circuits are especially important because they are already among the leading platforms for quantum computing, communication, and sensing. Until now, however, no experiment had completed a cyclic quantum heat engine using this technology.” (ScitechDaily, World’s First Superconducting Quantum Heat Engine Could Transform Quantum Computing) 

“The immediate significance is not the amount of work generated, which is extraordinarily small. Instead, the experiment shows that heat can be deliberately controlled and converted inside the same type of circuitry used to build quantum processors.”(ScitechDaily, World’s First Superconducting Quantum Heat Engine Could Transform Quantum Computing) 

Quantum engines are the miniaturized versions of nanotechnology. If those systems. They can put particle spin very fast. When particles spin in the cage. It pulls energy through that structure. That causes a quantum glow in that cage. Basically, a quantum engine; it’s similar to other engines. e It can use the magnetic field and IR radiation combination. To make transform radiation into motion. Those systems. They just transform wave movement. Or electromagnetism. Into kinetic energy. So, when the core in a quantum engine spins. That core binds energy into it. When its speed accelerates. When it slows. It delivers energy. 

“That capability may become valuable as quantum computers grow. Today’s superconducting machines depend on large numbers of microwave cables running between room-temperature electronics and processors kept at temperatures only a fraction of a degree above absolute zero. Each cable adds cost, occupies space, and can carry unwanted heat or noise into the system.” (ScitechDaily, World’s First Superconducting Quantum Heat Engine Could Transform Quantum Computing) 

“The researchers are now working toward a fully autonomous version of the engine. One possible application would be reading the state of a qubit without sending a microwave signal from the cold processor to room temperature. Placing more control functions directly inside the cryogenic circuit could reduce the amount of external wiring required.” (ScitechDaily, World’s First Superconducting Quantum Heat Engine Could Transform Quantum Computing) 

The quantum engine that transforms infrared radiation into motion is a fascinating tool. 

This. Kind of system. It can transform all radiation types. Into another by using motion. The radiation. Like radio waves. Hits the quantum engine. It starts to move. And then. It transforms that movement into electricity. Then that electricity. It can be used. As an example, an X-ray system.

Quantum system. That transforms kinetic energy into motion. That thing can be the new tool for micrometeor and armour technology. If the system can transfer impact energy into rotating movement. That can turn a surface extremely hard. In stealth technology. That ability to transfer electromagnetic radiation into movement. Makes it possible to pull standing waves out from space between atoms. Those systems. 

This kind of system. They can feed energy to quantum computers. The system. That can transform radiation into motion. This can bring interesting ideas for energy sources. To the journeys to the edge of the solar system. The quantum engine that can turn minimal energy into motion is the thing. That could replace at least some of the RTG (Radio Thermal Generators). Used in long-distance space journeys. Or those systems. They can at least make the RTG power sources more effective. By benefiting from the temperature that those isotope generators deliver. 

Nano- and quantum technology that transforms heat into motion. That is the system. That can help to create more sustainable materials. That stand the heat. The idea is that those quantum systems. They can transfer heat energy from the shell of the spacecraft or airplane into a moving part. This turns infrared radiation into movement. And then that nano-. Or quantum generator. It can transform the heat into UV light. 

This kind of transformation is quite easy to make. The nanotechnical generator. It simply transforms heat energy into electricity. Then that electricity. It can be transferred to UV light. This kind of system. It can transform almost any wavelength into another. When things like radio waves hit this kind of system. That system can transform radio waves into X-rays through motion. This kind of system. They can be the next-generation tools. For new stealth  technology. 

https://scitechdaily.com/worlds-first-superconducting-quantum-heat-engine-could-transform-quantum-computing/

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

AI might think differently than humans.

“York University researchers have uncovered a surprising mismatch between how artificial neural networks and primate brains process visual information. Credit: Shutterstock.” (ScitechDaily, Scientists Discover AI Models May Not Think Like the Brain After All)

AI might not think like a human at all. When researchers try to make computers think like brains. Those people sometimes forget why human brains are so different. Thinking in human brains is more closely connected to physical structures such as neurons and neurotransmitters. Than we even think about. 

This is the big difference between computers and human brains. The structure of the human brain plays a bigger role in the thinking process. Than we thought. The computer that runs billions of databases. It can have a very impressive capacity to connect information. But the problem is that. One binary processor. It can run one operation at a time. The system requires new processors. 

That processor. It can run. Multiple tasks at the same time. This is not possible for the regular processor. But the processor. That mimics the brain. It can use all its layers as independent processors. 

 The brain has four main areas. 

1) Cerebral cortex 

2) Cerebellum

3) Brainstem 

4 Cerebral hemispheres. The last one has two parts. 

The fact is that if we create a microprocessor that mimics the human brain. We need a five-layer microprocessor. Each of those layers can use a different programming language. That denies the data mix in the system. If every layer of the processor uses different languages, that makes data meant for other layers seem white noise.

Each layer mimics each part of the brain. And those layers. They can have different programming languages. Or different frequencies. That helps them to separate and sort information. The four-layer microchip. It can have one divided layer. That mimics the cerebral hemispheres. 

From different sources. The database connections. They can mimic neural networks. That transfer information in human brains. The difference between database structures and human brains is this. Databases run on the same monolithic computer. In human brains. Every single neuron is like an independent computer. This means that if we want to make a computer. 

Or. We can rather say: an AI solution. We must create a system. That involves 86 billon computers. The system. It can use morphing neural networks to make its operations more effective. 

“Schematic of a simple feedforward artificial neural network.” (Wikipedia, Neural network)

The thing that can make the process quite easy is that. Every neuron has. The ability to change its connections and their relations. This means we cannot measure the neuron’s ability to process information in the same way. As we measure a computer’s ability to process information. Human brains store information in the form. 

That is similar to a mosaic. The information. It is stored. In a form that is like pixels. Brains can connect and reshape those pixels freely. And that ultimate flexibility makes human brains so different from machines. In brains, every neuron has a pair. A mirror neuron. The neuron and its mirror. They act like loops or algorithms. Another purpose for mirror neurons. That is. They tell the primary neuron that the information traveled through. 

In human brains.  Multiple points of start. Data processing. At the same time. Brains can spread the operation. They could reserve more neurons for that action. This means that brains concentrate. In another way. Than computers. In brains, in brains. Every neuron acts as an independent computer. And the large number of neurons gives fine-tuning for processes in the brain. 

Computers can also connect data. But that system is far different from humans. In computers. The binary system. It can handle only one task per operation. The AI. That mimics human brains. Must have 86 million physical processors to mimic human processes. The ability to search data and then combine that data with memory. Is the thing that we call thinking. 

We could make a machine. That mimics human reactions. That machine requires a physical platform. That involves the same structure. As human brains. The fact is that. If we want to make a machine. That thinks like humans. We must remember that the system. It is a combination of hardware and software. 

https://scitechdaily.com/scientists-discover-ai-models-may-not-think-like-the-brain-after-all/

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