A new quantum computer solves a math problem in 15 minutes. That binary computers can never solve.

“Scientists used a new error correction method to encode 70 logical qubits and solve a problem that is intractable for classical computers. The quantum computation took about 15 minutes, while leading classical methods would require an impractical amount of time. Credit: Shutterstock” (ScitechDaily, Quantum Computer Solves a Problem in 15 Minutes That Classical Methods Can’t Practically Compute)

“Researchers have demonstrated a quantum computation that appears to exceed the practical capabilities of leading classical simulation methods while also addressing a longstanding problem: how to verify the result.”(ScitechDaily, Quantum Computer Solves a Problem in 15 Minutes That Classical Methods Can’t Practically Compute)

A quantum computer completed a difficult calculation in about 15 minutes, while leading classical simulation methods would require prohibitive amounts of time. Just as importantly, the experiment included a way to establish confidence that the quantum result was accurate.”(ScitechDaily, Quantum Computer Solves a Problem in 15 Minutes That Classical Methods Can’t Practically Compute)

“The system completed 2,415 logical two-qubit operations and 468 logical “T gates,” two measures of quantum circuit complexity. Encoding the circuit reduced the effective logical error rate to one tenth of the physical error rate, allowing the computation to maintain high fidelity despite the large number of operations.”(ScitechDaily, Quantum Computer Solves a Problem in 15 Minutes That Classical Methods Can’t Practically Compute)

"Common quantum logic gates by name (including abbreviation), circuit form(s) and the corresponding unitary matrices". (Wikipedia, Quantum logic gate)

There are two major problems in quantum computers. First is that. Nothing that another quantum computer can check or inspect the result. The other problem is. How to make sure a quantum computer gets the right answer. This means. The quantum computer may make many errors in the process. From the beginning of the formula. To the complete answer. The danger is that the system can get the right answer. But using the wrong methods. The danger is that. The control formula is made using binary computers. It can give the right answer. Or an answer that seems right. 

Even if a quantum computer makes mistakes. And. If a quantum computer works incorrectly. That can cause errors in extremely long calculations. That take years. If. A computer solves a problem in one year. Inspection takes another year. So, making an answer and proving it takes two years. And this is one problem. 

“Random circuit sampling (RCS) has long served as a benchmark for testing whether quantum computers can outperform classical systems. In this task, a quantum computer produces patterns so complicated that classical computers cannot efficiently recreate them.” (ScitechDaily, Quantum Computer Solves a Problem in 15 Minutes That Classical Methods Can’t Practically Compute)

A quantum computer solved a mathematical problem. That was impossible for binary computers in 15 minutes. This means that there are limits to quantum and binary systems. The binary system is faster and better. When. Calculations are easy and small. But when complexity in calculations grows. That turns. Quantum computers. More suitable. The big problem is how to detect errors in quantum systems. The only thing that can inspect calculations that are too complex for binary systems is another quantum computer. 

When a quantum computer inspects and tries to detect errors. 

This system calculates all calculations backward. That means that getting the answer takes 15 minutes. And confirming that answer takes another 15 minutes. This looks impressive. But there are many problems. The biggest problem is that the quantum computer. It follows similar laws as other computers.

Increasing calculation capacity. It provides resources for more complex simulations and modelling. So, researchers bring more complicated formulas to computers. Increasing computing power. That increases the complexity of formulas. 

When researchers want to make a simulation. To simulate gas flow. They search for what that gas flow does. And then they try to make a fractal that follows those routes. The same way. It is possible to create material simulations at the quantum level. This thing. It makes it possible. To create very high-accuracy simulations. Those simulations are needed to control those materials with extreme accuracy. 

https://postquantum.com/quantum-computing/rcs-benchmark/

https://scitechdaily.com/quantum-computer-solves-a-problem-in-15-minutes-that-classical-methods-cant-practically-compute/

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

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

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

The Jacobian conjecture is partially solved. (Jacobian conjecture is disproved in three or more dimensions)

 

Jacobian conjecture is disproved in three or more dimensions. But in the two-dimensional model. It remains open. 

“A remarkably simple three-dimensional function has exposed an unexpected limit to a century-old mathematical conjecture. Credit: Shutterstock. An AI-assisted counterexample disproves the Jacobian conjecture above two dimensions while leaving its original two-dimensional form open.” (ScitechDaily, AI Helps Crack an 87-Year-Old Math Conjecture With One Tiny Formula)

AI is the basis for new mathematics. The ability to share problems and connect them again makes that tool impressive. In cases like the Riemann conjecture, AI is the best tool in the business. The system can share the number line across different servers. And then that makes this system an impressive code-breaking tool. In this case, the AI tries to make calculations. That encryption system is made backwards. And that opens the original bits to an attacker. The Riemann conjecture generates binary numbers. That connects to some other formula. 

The last impressive thing that we see is the solution to the Jacobian conjecture. That thing is important in linear algebra. This makes it a tool that is suitable for economics. In that case, the Jacobian matrix is used. For resource optimization. The next examples are things. There, the Jacobian matrix is used. 

Mathematics: An important part of methods for solving differential equations.  

Engineering: Helps model and optimize complex systems.  

Economics: Analyzes economic models and optimizes resources.  

Computer Science: Used in neural networks and machine learning algorithms to aid optimization.  

So, the Jacobian matrix is a versatile tool that provides deep insight into both mathematical and practical problems.

AI  shows that the Jacobian Conjecture is wrong. If. There are three or more dimensions. This means that all polynomial functions cannot be introduced backwards. And that means all calculations. They cannot be checked simply by calculating all calculations backward.

But. The Jacobian conjecture is wrong only in dimensions ≥3. The two-dimensional problem is open. So, dimensions 2≥ are still open. This means. That.

Encryption algorithms that involve the Jacobian Conjecture. It should have three or more dimensions. 

“In mathematics, the Jacobian conjecture is a conjecture concerning polynomials in several variables that states that if a polynomial function from an n-dimensional space to itself has a Jacobian determinant that is a non-zero constant, then the function has a polynomial inverse.” (Wikipedia, Jacobian conjecture). The conjecture can benefit the Jacobian matrix in its models. 

“In vector calculus, the Jacobian matrix of a vector-valued function of several variables is the matrix of all its first-order partial derivatives. If this matrix is square, that is, if the number of variables equals the number of components of function values, then its determinant is called the Jacobian determinant. Both the matrix and (if applicable) the determinant are often referred to simply as the Jacobian. They are named after Carl Gustav Jacob Jacobi (1804-1851).”(Wikipedia, Jacobian matrix and determinant) 

“If m = n, then f is a function from Rn to itself and the Jacobian matrix is a square matrix. We can then form its determinant, known as the Jacobian determinant. “ (Wikipedia, Jacobian matrix and determinant) 

In texts. The Jacobian determinant sometimes is referred to as "the Jacobian".(Wikipedia, Jacobian matrix and determinant) 

“The Jacobian determinant at a given point gives important information about the behavior of f near that point. For instance, the continuously differentiable function f is invertible near a point p ∈ Rn if the Jacobian determinant at p is non-zero. This is the inverse function theorem. Furthermore, if the Jacobian determinant at p is positive, then f preserves orientation near p; if it is negative, f reverses orientation. The absolute value of the Jacobian determinant at p gives us the factor by which the function f expands or shrinks volumes near p; this is why it occurs in the general substitution rule.” (Wikipedia, Jacobian matrix and determinant)

https://scitechdaily.com/ai-helps-crack-an-87-year-old-math-conjecture-with-one-tiny-formula/

https://esimerkkeja.com/jacobin-matriisi-esimerkki-ja-sen-sovellukset-matematiikassa/

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

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

https://en.wikipedia.org/wiki/Jacobian_matrix_and_determinant#Jacobian_determinant

Quantum networks and phase singularity.

“Researchers have shown that quantum entanglement can survive a journey through a busy metropolitan fiber network carrying powerful conventional data traffic. Credit: Shutterstock” (ScitechDaily, Quantum Photons Survive a 24-Kilometer Journey Through Chicago’s Busy Internet)

Quantum photons traveled 24 kilometers in Chicago. And another thing that can make that case interesting is this. Those quantum photons or quantum entanglements survived in a regular optical fiber network. 

This is a big advance in quantum communication. And it allows developers to connect quantum computers. But another thing that makes the quantum internet interesting is this.  The information in that network. It is almost fully secure. Because. Information that travels in a quantum network is bound to a physical particle. That makes it possible to secure data. Data that travels in the quantum network. It can be stored in photon series. Or into individual photons. 

This means that a quantum network can transport data in internal structures. The photon series can hide messages. That is stored in the individual photons. If. Somebody steals information from photons. Those photons lose their energy. So, we can think of each photon as a key. Curves in the photon structure. They store data. And if a photon loses energy. That makes it smaller. Researchers can split a photon into two identical photons. 

But the sum of those photons' energy levels is identical to the original photon. This means their energy level is half of the original photon. The situation is similar to the key losing half of its size. That key cannot open the lock. And the system sees that thing. But can somebody split a photon? That travels in the quantum network? We know that there are laboratories. There, researchers investigate technologies for breaking those ultra-secure data networks.  

Quantum networks are not completely safe. Connection points. Those points. Transform information from the quantum internet into electrical impulses. For. Binary computers. The attacker can attack those points. Or to the regular LAN network that delivers data into laptops. Even if we keep that binary state as short as possible. And. Make a faraday cage around that space. This state exists. And. Modern technology. Like drones, allows them to steal information from those spaces. 

A drone can carry a relay station that transmits data out from those ultra-secure spaces. The drone puts its antenna in that cage. The thing that makes those networks safe could be the multi-channel transmission. In that model, the WLAN transmits data by sharing it between multiple channels. The information involves data packets that have serial numbers. That system transmits all those data packets. 

At the same time. Or it can use mixed order. Serial number. It allows the system to sort received data packets into the right order. That makes WLAN more secure. But as we know. There is no absolute security. There is vulnerability in all networks. If. Somebody damages a quantum network. That means there must be some backup system. 

A big problem with quantum photonic networks is that they require a physical structure where they operate. This means they are not as suitable for satellite data transmission as they are in other cases. There, photons can travel in the tube that protects them and the data that they carry. The laser beams are also suitable tools for data carriers. But that requires a laser beam that carries information. 

It is protected so that the observer cannot see it.  The internal laser beam. That travels in the other beam. It can solve that problem. If. Somebody tries to steal information from the internal beam. That travels in the outer beam. That actor must take that data through the outer beam. That dims the beam. And it alarms the controller. 

Darkness can transport photons faster than light. 

When darkness protects information. Phase singularity. It is the thing. That can protect a photon inside it. The phase singularity can also travel “faster-than-light”. Because. It makes fewer curves. This thing means that because of the phase singularity. It travels in a straight line. And a photon makes curves. So. Because a photon makes curves. It travels. Through a longer trajectory. Than a phase singularity. This means that a photon and a phase singularity travel at the same speed. But a phase singularity selects a shorter route. And that makes it reach a goal before photons. 

The most incredible thing that can make the quantum internet so effective is something we can never imagine. It is the thing called phase singularity. That is a phenomenon in wave movement. There. Amplitude is zero. The optical vortex can travel “faster-than-light”. Because. It doesn’t make any curves. This means that this vortex travels a shorter distance than a photon that makes curves. Phase singularity. It can also protect information. Stored photon inside it. 

Optical vortex. It could also transport information. The photon is locked inside it. This means that. The phase singularity. It can protect the photon. And if that phase singularity travels in a laser beam. That makes it an interesting information transporter. That system can take long-range quantum networks and remote control to the next level. 

https://www.sciencealert.com/physicists-found-something-that-can-move-faster-than-light-the-darkness-inside-it

https://scitechdaily.com/quantum-photons-survive-a-24-kilometer-journey-through-chicagos-busy-internet/

https://physicsworld.com/a/darkness-can-travel-faster-than-light/

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

Russian intelligence uses captured web cameras as a spy tool.

“Russian intelligence services are actively compromising internet-connected security cameras across Europe to gather military intelligence, according to a new advisory from the Dutch General Intelligence and Security Service (AIVD) and Military Intelligence and Security Service (MIVD). (Bitdefender, Russian hackers are hijacking internet-connected cameras to spy on NATO and Ukraine)

Russian intelligence uses internet cameras for spying on NATO and Ukraine. How effective is this kind of spying? The answer is that it depends on what those cameras see and the purpose of those operations. Those cameras can be used to locate people and their vehicles. Or the door camera. It can help agents create timetables for targeted people. Door cameras can also be used to warn agents who operate in some houses. The agent who puts surveillance equipment in a place. Benefits from those systems. Those systems. They can tell those operators when the apartment’s owner comes home. 

U.S. and Israel used hacked traffic control cameras to locate Iranian leaders for air attack. 

The door codes can tell if someone walks into the house. The personal door codes. They can help to map the person’s route in the house. And if spies are making a burglary in some apartment. The use of personal entry codes. It can warn those spies. Or it can act as a stand-by order for real bad boys. Hit agents need information about routes. That people use in those houses. They can use that information for kidnapping. Agents can use medical components to get information. 

That they want. That information. It can be access codes to critical systems. Or access to a critical environment. 

In the same way. An anti-VIP team. Can use those door cameras. And traffic control cameras to target people for elimination. And here we must realize that the AI-boosted systems. They can easily collect data about people and their routes. The system uses images from hacked cameras. And the image recognition tools can see where targeted persons are. 

This kind of information. It can be useful for those attackers. But sometimes surveillance cameras can collect information from other vital objects. The security camera that sees the screen can deliver that information as effectively as some malware that infects the computer. The security systems of the house. They can also involve critical information about people’s IDs. This information allows espionage operators to gain access into the building. 

The AI-based image processing tools. They can uncover even state secrets. If. Hackers can intrude on an airfield's security cameras. Those people can collect information from the aircraft and other important material. In harbours, the situation is similar. Hacked surveillance cameras. They can collect data from ships and other important things. Things that the surveillance camera sees. They determine the effect of that type of spying. 

https://www.bitdefender.com/en-us/blog/hotforsecurity/russian-hackers-hijacking-cameras-spy-nato-and-ukraine

Most of the internet traffic. It is. Not made by humans.

Most of the data that travels on the net involves information that has nothing to do with humans. That data is invisible to us. It involves things. Like system updates, system information. TCP/IP checklists. Resending TCP/IP information when checksums don’t match. The checksum tells. That all data reached its goal. If. The checksum doesn’t match. The system resends information. 

The dead Internet conspiracy theory. There, most of the net is AI-generated bots. The AI-created texts, videos, and applications seem human-made. We create more content than ever before. But we must accept that most of the data that we deliver is images or movies. Today, AI can generate almost everything by following instructions. That people give them. AI  can create. A 100-page novel. In a very short time. So if we give ten words as an order to create a novel. The length. Of that novel is about 100 pages. 

Who makes the work? Is it me or AI? At this time, we must say that most of the work is made by AI. And that is one of the problems. If. We say that we create more and more content. The maker of shared content is more often AI. But is the net dead or alive? We could calculate the data that human users create by writing themselves. Or how much data human users use or share? When they share real photographs. And then we can compare that data mass with the data. 

That AI-generated texts and images involve. This means that the internet is dead. If most of its content is made using AI. But then we must realize that AI can surround data. AI can use images and texts. That it made. And then generate new images and texts by using other AI-generated content as a model. The problem with that advance is this. The AI follows page rank. To make images and content that pleases users. This means that this thing accumulates AI-created content. 

And then we must draw some conclusions about the dead internet. Is it just theory? Or something that we misunderstood? Most of. The internet traffic. Is other than communication between people. That content involves the machine BizTalk. That BizTalk is invisible to humans. This means that most of the data that moves on the net. It is something other than social media. Media, or something else. Than humans produce. 

Sometimes dead internet means homepages. And emails and other content. That the owners are forgotten. Especially in the early years of the net. People opened many emails and created homepages. That are still there. But those people have forgotten passwords. Or those passwords and usernames are hosted. By. Companies that no longer exist. People can open emails and forget passwords. People can open workspaces and homepages. And then. They forget those addresses. Sometimes people. Just change their phone numbers. And then they have no access to data that still exists. 

Dead code is one of the things. that uses lots of space. That dead code. Means code that is in the computer program. But that code is neutralized. It forms an empty line in that code list. This neutralized code fills hard disks. We cannot ever see those code lines. Sometimes. They are neutralized because the programmers are in a hurry. This means. They must turn the code into an “instruction line”. These kinds of things affect the checksums that TCP/IP sends. When. It must confirm that the data traveled. Between. The receiver and the sender. It is not changed. 

The information storage. In the network is impressive. But it's not endless. This means that the data storage can be filled. The data storage expands. But at the same time, people create more content. AI-created. Content is more complicated and requires more memory than regular texts. 

A new semiconductor is a big step for photonic computing.

“When two pulses of different colored lasers light  (the two waves at the top of the image)meet in a new device created at the University of Michigan, researchers create a beam of electrons (small golden particles) that flows in a controllable direction. By changing the laser colors, the electron beam can sweep through different directions. Like the beam of a lighthouse. Credit: Yiming Gong." (ScitechDaily, New Semiconductor Device Turns Light Into a Directed Current)

"The light-controlled electron current could open new paths for sensing, telecommunications, and other advanced technologies.” (ScitechDaily, New Semiconductor Device Turns Light Into a Directed Current)

“A pair of laser beams can now send electrons through a semiconductor in a chosen direction without any external electrical power. Researchers at the University of Michigan built the device to explore a previously unobserved physical effect and demonstrate that light alone can both generate and steer an electronic current. ” (ScitechDaily, New Semiconductor Device Turns Light Into a Directed Current)

The biggest problem with photonic computers is the nano-sized optics. That optics is needed to transmit information in the system. It uses light for data transmission. Photonic computers are becoming more interesting. Because they could use less energy. But the main role is that photonic computers. They are immune to EMP (Electromagnetic pulses). Optical data storage doesn’t care about electromagnetic radiation. The problem is. Of course, the control system. Of those computers. Moving parts like turning mirrors. Their turning mechanisms are still vulnerable. So. If we want to make a computer that is fully protected against the EMP. 

We must put the entire computer. Along with its power source, in the EMP-protected space. The name of that space is a Faraday cage. 

This metal cage denies radio waves. Travel through it. The system must communicate with the internet by using an optical switch. This means laser data transmission through that Faraday cage. The computer must use laser data transmission with the EMP-protected computer and the net. The system must not have one single iron or metal wire through the Faraday cage. Or. The EMP pulse travels through it. But optical communication through the cage. It could solve that problem. 

There are actually three versions of photonic computers. 

1) The system where data travels in laser beams between the microprocessors. This system uses conventional microchips. Laser beams transmit data into photovoltaic cells.  They transform it into electric signals. Microprocessors compute those signals as regular computers. 

2) In the second photonic system, the data travels in photonic form through the entire system. The system. It can have nano-scale optics. That controls light. Like an electric computer controls electric signals. Optics require electric systems. That control those mirrors. 

3) Fully photonic computers. There, the entire system operates. With. Some other than regular mirrors and prisms. Things like photoacoustics are promising tools. The photoacoustic or optoacoustic systems. It could control light by using pressure or sound waves in the optical materials. One of the things that can make this kind of dream possible. It could be the tool. 

It uses electric eruptions in a mountain crystal to manipulate light. The light beams can be conducted to the quartz crystal. Then the system sends pressure waves into that crystal. That causes electric phenomena that affect light. The idea is to aim the laser beam into those lightning strikes that form in that crystal. But the problem is how to make those crystals small enough. 

New semiconductor aims light precisely in the desired direction.  Researchers at the University of Michigan created a system. Two laser beams send information into the semiconductor. That semiconductor resends that information in the desired direction. This system can turn light in the desired direction. That is important for photonic data transmission. The system must control light beams. The diameter of those light beams is extremely small. And that makes it hard to create normal mirrors. These types of crystals can bring optical computers one step closer. 

The crystals could manipulate natural light. They can make a new model for quantum optical stealth systems possible. But even if they could manipulate only IR light. That could be fundamental. If the system. It could aim just the IR radiation into the desired direction. That could make it possible to deny the IR signature. The system. It just directs IR light away from the observer. That makes it possible to create a system that is not visible in IR light. We know that turning the natural light away from the observer is challenging. But changing the direction of one wavelength type is easier. And the ability to aim IR into the desired directions. It can give the ultimate night-operation capacity. It could turn the system invisible to IR cameras. Because. It aims IR radiation away from the system. 

https://scitechdaily.com/new-semiconductor-device-turns-light-into-a-directed-current/

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

What do a locomotive and a data center have in common? They both face resistance.

Political resistance against data centers. Forces them to find new locations for those systems. 

Data centers face resistance. That is one of the things. That we can see. The main problem with data centers is this. Those systems don’t require permissions. Except for the use of land area. The data company. It can buy a large group of houses. And then turn the database into cloud-based systems. The cloud-based architecture means this. There can be extremely large data centers in the neighborhood, and nobody even knows that they are there. 

When we resist data centers. And the use of AI. We can see similar cases in history. In history, people resisted things like cars. The origin of the car is in the train. The steam engine made it possible to make trains. 

The speed of the first train. It was 21 km/h. The crew of the train was two. Two men could handle very much cargo. The first trains were used in mining areas. They could maintain their speed. All the time. And that removed the crew from logistics. And then people started to think about the possibility. To create the train on wheels. The combustion engine made the car real. And that caused problems with workers. Unlike horses. Cars and trains required mechanics. Those people who worked with those mechanical systems required training. Unlike people who feed horses. 

They said cars would cause unemployment. Cars caused pollution. But the first arguments against cars were that cars take work from cattle workers. The problem with that criticism was simple. It was that the critics were cattle owners. Horses were the most important working “tools” before the car. The big problem with cars was that. They took the place that belonged to horses. first car was slower than a horse. The maximum speed of the car. It was about 15-30km/h. But the car was a machine. It could maintain that speed. All the time. So, the car was more effective. The car didn’t need water or food. And that made tractors and cars suitable. To operate in places. Like Antarctica. If people operated there with horses. That required a lot of food. 

But as we know, people resist data centers for many reasons. The big problem is that. The only thing that measures effectiveness. It is the income money. If people have free time. In their workplace. That is ineffective time. That causes a need to decrease the number of workers in the workplace. That causes unemployment. 

Another thing is that. People resist everything that is new. The ICT area is been like in the position of the stepson in the media. When we think about traditional business. That thing required a lot of workforce. A steel factory sends pollution. So that requires lots of permissions. Of course. Data centers require permission to use land area. The data company can just buy a lot of houses. And then make data centers in them. This kind of solution doesn’t need new buildings. This means that. The data centers don’t need as much political support as traditional factories. 

And the second thing is this. Data centers are primary targets for the enemy in the case of war. This means that things like underground facilities can help data center survivability. 

But the answer. It could be an underground data center. The tunnels are full of supercomputers and are not visible from the ground. The technology. That those tunnels require. They can be the same. That is used for making subway trains. 

The ICT company doesn’t require a workforce in the traditional way. They don’t need raw materials. They need people who make code. There are no psychological or health limits in this work. The ICT company just needs working spaces. And remote work makes it possible to operate data centers from another side of the world. The head coder can do the job. That person can operate and train AI agents to make code. The underground facilities are the answer to the natural problems. Data centers that are deep underground. They can use geothermal heat or miniature nuclear reactors to provide electricity. 

The deep caves. Like exhausted gold mines. They can provide stable and radiation-protected locations. Some of those points are used for neutrino telescopes. But those locations can be suitable places for quantum computers. The quantum computer. It can be in a thermos box.  The isolation layer: A faraday cage and radiation protection. They are between the walls. Of the box. The purpose of those layers is to isolate the qubits. From the outside environment. 

The other place where those data centers. They can be made. Is the ocean floor. Large and complex structures. They can be modules. Dropped to the deep sea. Deep-sea data centers can be operated using robots. Underground and deep-sea positions. They can protect data centers against terror and bomb strikes. 

Rising resistance against data centers. Forces data companies to find new positions for data centers. The deep sea and underground positions. They are effective. But things like orbital data satellites are new tools. They can operate using cloud-based architecture. Data satellite. It’s a similar server. To other servers. The orbital server’s program maintenance. It is similar to other servers. So, the person who does the maintenance work. That person doesn’t need to know. The position of the server. The orbital data center. It can be the belt or chain of data satellites. If one of those satellites is visible from a ground station all the time. That means the maintenance will not see any difference between ground-based data centers. And data satellites.  

The satellite. It can have a heat shield. And the ability to land safely. This means that those satellite swarms can recover their critical components. And that helps to find. If somebody tries to “steal” them. The orbital data center. It is a group of satellites. Those satellites can communicate with each other using lasers and radio communication. The system is similar to Starlink. The backups. And other things can be made into other satellites.

Or ground-based hard disks. When one satellite is jammed. That satellite will be replaced with another satellite. The operations with orbital computer platforms are the same as they are on ground-based systems. The people who operate the computers. They drive system updates into the orbital data servers. As they do for the normal ground-based data centers. The people who update and maintain computers. They must not have access to satellite trajectory controls. 

People who adjust satellite trajectories must not sit in the same room. There the compute operators sit. The same way as in every other data center. The maintenance crew can operate those systems remotely. Just like in every case on Earth. The remote operators don’t need to know where their server is located. They need to know how to make those updates. 

Solar sails and their technical problems.

In some ideas: solar sails. They can travel inside the solar system. The idea is that those sails can be very large radio telescopes. Or they could carry large interferometer antennas out from the asteroid belt. 

There are visions of solar sails using laser acceleration. It can travel to other solar systems. When a solar sail travels very fast. Photons that impact the solar sail start to transfer less energy into it. When the sail reaches a speed. About 75% of the speed of light. The laser beam that accelerates it starts to lose its energy. 

The Doppler effect changes the wavelength of the impacting laser beams. The effect is similar. As we were throwing balls to an escaping car. When an object escapes, the particle pushes energy to that object more slowly. And that decreases acceleration. Photons act like all other particles, like balls. When the solar sail moves faster. The laser beam that hits it starts to lose its power. 

The calculations show that low-energy photons can slow the solar sail. This means that when solar sails travel outside the solar system. The same light that accelerated it turns to slow the solar sail. So does light accelerate or slow it down? That depends on the energy level of the photons. 

If the photon's energy level behind the solar sail is higher than its front side. The photon accelerates the solar sail. If that energy level behind the solar sail is lower. Those photons transfer energy into themselves. And that slows the solar sail. But another thing that can slow the solar sail is the gravitation of the entire solar system. 

When the solar sail starts its journey, there is less mass behind it. Than when the solar sail travels out from the solar system, the entire mass of that system turns behind it. This means that the mass of the Kuiper Belt. Oort clouds. And planets, the Sun, and all asteroids start to pull the solar sail behind it. Another thing that can slow the solar sail is the starwind. The starwind is the particle flow from other stars. 

That particle flow impacts. The heliopause from outside it. That can also push the solar sail back. So if that particle flow is stronger than the particle flow from the solar system. That thing pushes the solar sail back. This means that solar sails may need something. That pushes them forward. Those things can be hydrogen bombs that are left in the solar sail’s trajectory. But the problem is always the same. The acceleration means that those systems can push less energy to the solar sail. For the same reason as why the laser beam cannot transfer energy into it. 

When we think about the systems that carry laser systems. The only problem is that. Those systems would form a closed system. The laser system. That shoots a laser beam into the mirror at the front of the craft. It must be released when it is shot. When that laser is released. That system is not closed anymore. And those single-use lasers. They can push the craft forward. The idea is that. The laser is in the frame of the solar sail. Then that system. It will be separated. When the system. It needs the power. 

Those single-use lasers. They can be like in a magazine in the solar sail. Then those systems. They can be released. The laser. It can get its energy from a rocket engine. That pumps energy into it. When the laser is separated, the rocket starts. And it also gives energy to the laser. The rocket pushes that laser system backward. 

The fact is that. Solar sails can be interesting tools. To travel inside the solar system. But stars are always a little bit too far. Inside the solar system. Those solar sails can use solar energy and particle flows. This means that interstellar flight will not be possible until the entire solar system is explored. 

https://scitechdaily.com/the-strange-force-that-could-slow-interstellar-solar-sails/