Showing posts with label computing. Show all posts
Showing posts with label computing. Show all posts

Monday, June 16, 2025

Why does an antique chess console beat Chat GPT in chess?



When we think about those antique ATARI consoles from the 1978 model we always forget that they were not as easy to win as we thought. Those chess programs handled every kind of data as numeric. And the Chat GPT-type artificial intelligence handles that game as visual data. This is one of the things that we must realize when we think about this type of case. Those old chess consoles used very straight, linear tactics. The main difference between modern algorithms and old-fashioned computer programs is that those old programs are linear. And it handles all buttons and movements separately. 

So there is actually a chessbook in those chess programs, that it follows. Those old chess programs were more difficult than some people believe. If you were a first-timer in chess that means you would lose to those consoles. They played very aggressive and straight games against human opponents. The system tested the suitable movements for each button separately button by button. Because the program was linear the movements were made in a certain order. In those chess programs, every movement is determined by the program square by square. The programmer determined the movements for every button and every square separately. And that made those programs quite long. 

Those old-fashioned chess programs have a weakness that if something goes wrong they continue by following that line. There are certain numbers of lines that the program can use. And there is also the end of the line. Those programs can use complete tactics. But their limit is that those programs are fixed. They don’t write their databases and models again if they lose. And that makes those old-fashioned consoles and video games boring. When people learn tactics that it uses they can beat those old-fashioned programs. The limit of those video games is seen in action games. There are always the same points where enemies jump in front of the players. 

Then we can think about things like learning neural networks. Those networks can beat all old chess programs quite fast. The problem is that the neural network must see the game of the console before it can win those systems. AI is like a human. It requires practicing and training. Without knowledge of the opponent’s game, the AI is helpless. There are many ways to teach AI to create tactics against old-fashioned programs. The system can use some modern chess programs and then analyze the opponent’s game to create tactics. 

The other way is the system can analyze the source code and create a virtual machine that it can use to simulate the chess console game. But what do we learn from that case where antique consoles beat the modern AI? Without training the AI is helpless as humans. If the AI has no knowledge of how to play chess, it must search all data including movements of those buttons that make it as helpless as humans. 

Those old-fashioned consoles are RISC applications. They are made for only one purpose. Their code is completely serving the chess game. Modern AI is a complicated system. It can also do many other things than just serving the chess game. And that makes those old consoles somehow difficult to wing, at least when the AI can break its movements and tactics. 


https://en.shiftdelete.net/chatgpt-fails-in-chess/




Saturday, May 31, 2025

How to save energy in programming? The answer is reverse programming.




AI boosts programming most in the environment. AI requires lots of energy, and that is one of the things. That limits the use of the AI. AI requires a very large-scale data infrastructure. The AI server means data-center-size server systems. Programming also requires energy, and the problem with AI is its so effective. AI with qualified programmers is the ultimate combination. 

But there must be something that limits the use of electricity. AI is used in programming because it's a very agile method. The AI makes lots of code in a short time. But AI requires data. That it can make valuable software. Programmers train the programming AI like all other AIs are trained. The AI is a tool that can make things better but it requires intensive training. The programmer interacts or discusses with the AI about things. That it must do. The programmer must put things like paths into the right form. 


1) The intelligent solutions that mean the expanding data-handling structure. Neural network-based solutions take their job from the programmer. The system makes the drive, where the information travels around the system. And if the solution is not good, the AI calls more microchips to operate with that structure. That means the neural network gives only the necessary power to the system. 

2) The system can use speculative solutions. The AI learns what kind of software the developer makes. And then that thing makes the trunk for the program using things. That is stored in its hard disk. Then it starts to cooperate with the programmer. The programmer can see the demos of the programs that the system made before. 


Then the programmer can order the system to make an example of similar menus, as there were in "Project 6".  The programmer can recycle code from other projects, if the system has access to them. That means the system must not generate all the codes that it requires. The system must store those codes in the hard disk so that they are easy to use for other projects. 

Reversive computing means that the system can make everything in the opposite order. Sometimes people say that reversible computing means that the system can make calculations backward. This means that the system follows the mathematical principle that checking the formula happens by calculating its calculations backward. So we all know that the 4+1=5. 

The computer can check the calculation by calculating that formula backward 4=5-1. This is one version of how to make the code error-free. This kind of thing might look like very effective. But there are always problems with more complicated formulas. The system can also search for matching details from other tasks that fit that solution and share it with those things. 

Another way that decreases the computer's work is speculative computing. Speculative computing means that the computer makes tasks that repeat often before it gets the data handling mission. Speculative computing is like a secretary, who makes the work. That repeat is often ready before the boss brings it to the meeting. The speculative systems ask the computer. 

That takes a mission in questions like: Are there calculations like 4+1, and if the port computer says "yes" that marks the answer to the right modules. The system can handle every line in the program code as the module. The gate computer just says that if there are some formulas in the certain module. For this: "Is there 4+1 the gate computer says that "yes in line (or module) 3). Gate computer means the computer. That logs information in the neural network. That means a speculative system can make that point ready and wait for the new commands. 





Sunday, March 9, 2025

The last question: computing and quantum chromodynamics.



The last question is the SciFi novel by Isaac Asimov. The final question in that thing is this: "Can the workings of the second law of thermodynamics (used in the story as the increase of the entropy of the universe) be reversed?" Multivac's only response after much "thinking" is "INSUFFICIENT DATA FOR MEANINGFUL ANSWER.".  (Wikipedia, The last question) 

The Multivac is a computer, in that novel. The question is about the entropy that grows all the time and destroys the system. The Multivac cannot make the real answer, because it must know the entire system for making a real and proven answer. Some people say that quantum chromodynamics can give the answer. But then we can think that The Last question is the story about information as a puzzle. The puzzle is ready when the last piece is in its place. And the vital information can be in the last puzzle. 

"In the last scene, the god-like descendant of humanity, the unified mental process of over a trillion, trillion, trillion humans who have spread throughout the universe, watches the stars flicker out, one by one, as matter and energy end, and with them, space and time. Humanity asks AC ("Analog Computer"), Multivac's ultimate descendant that exists in hyperspace beyond the bounds of gravity or time, the entropy question one last time, before the last of humanity merges with AC and disappears."(Wikipedia, The last question) 

"AC is still unable to answer but continues to ponder the question even after space and time cease to exist. AC ultimately realizes that it has not yet combined all of its available data in every possible combination and so begins the arduous process of rearranging and combining every last bit of information that it has gained throughout the eons and through its fusion with humanity. Eventually, AC discovers the answer—that the reversal of entropy is, in fact, possible—but has nobody to report it to, since the universe is already dead. It therefore decides to answer by demonstration. The story ends with AC's pronouncement:"(Wikipedia, The last question) 


"And AC said: "LET THERE BE LIGHT!" And there was light—"(Wikipedia, The last question) 


We can think of this novel as an example. Where the last person or last part of the system can have the answer. Or, we can think that the fictional Multivac can transmit its information into the past to another Multivac. 

"In theoretical physics, quantum chromodynamics (QCD) is the study of the strong interaction between quarks mediated by gluons. Quarks are fundamental particles that make up composite hadrons such as the proton, neutron, and pion. QCD is a type of quantum field theory called a non-abelian gauge theory, with a symmetry group. "(Wikipedia, Quantum Chromodynamics). 

The QCD analog of electric charge is a property called color. Gluons are the force carriers of the theory, just as photons are for the electromagnetic force in quantum electrodynamics. The theory is an important part of the Standard Model of particle physics. A large body of experimental evidence for QCD has been gathered over the years. " (Wikipedia, Quantum Chromodynamics). 

But the fact is that. These internal and external forces affect the system. That can seem very complicated. But time also interacts with the system. The system requires all information to make a trusted answer for that thing. If we want to get information about this question, we must go back in time. We can make a model where Multivac always transfers itself back in time when the universe faces its ultimate end. That helps Multivac to increase or grow its dataset. That means the Multivac exists in cycles and always when the universe ends its existence that system gets more data to its dataset. 

The problem is this. Every time. When the Multivac completes its cycle. And returns to the Big Bang event. The last part of the Universe's existence will be left out of the Multivac's sensors. Another way to get information from the future is to make a black hole that transmits information from the future to the past. That means the Multivac could be the tandem computer. Those computers travel as a row through time. The creators make two Multivacs at different points in time. And then the first Multivac will transmit information back in time. 

The causal loop looks like the pint. There is a channel between the points in time. That means the Multivac can get the entire information of the system only when the causal loop to the past starts at the ultimate ending point. The retrocausality is like the echo from the future. In ultimate high-energy objects time travels slower than normally. So those objects travel in the future. And if the system can make the energy level that is lower than the energy minimum in the universe it faces opposite time dilation. And that means it travels back in time. Sometimes causal loop is misunderstood the same as a fictional time loop. 

"The time loop or temporal loop is a plot device in fiction whereby characters re-experience a span of time which is repeated, sometimes more than once, with some hope of breaking out of the cycle of repetition. Time loops are constantly resetting; when a certain condition is met, such as a death of a character or a certain point in time, the loop starts again, possibly with one or more characters retaining the memories from the previous loop" (Wikipedia, Time Loop)

That thing is complicated. The data that travels against time will be encrypted by the entropy. The only way is to make the small qubits that can be black holes. And then drive them through the main black hole to the past. The thermal end of the universe makes that thing a little bit unsure. In the case of Big Silence, the energy level turns so low that the Multivac cannot turn its temperature below the energy minimum. 

The Multivac could be like the molecule. The black hole that is in the antenna transmits information into the higher dimensions. 

If the end of the universe is the big crunch the Multivac can make that thing. In that case, the massive energy load can push information backward in time. Quantum chromodynamics allows the information to travel back in time. The problem is that the information exists from the point that we see it. So we cannot notice if the information that we see comes from the future. And that makes proving the retrocausality almost impossible. Retrocausality means that thing that happens in the future can also interact with things that happen in the past. 

But in big silence where the universe continues its expansion forever makes that thing very difficult. The thing is that the Multivac can store enormous numbers of information. And in the case of the Big Silence. The Multivac can release all information stored in it. If the Multivac has the physical form of the cube there is another side of the superposition that transmits data from the 3D universe into the 4th or 5th dimensions that thing can detonate when the universe turns into a cold and zero energy place. 

When the outside energy pressure ends that cube or ball detonates immediately. Or the black hole inside it vaporizes. The structure around the black hole will not get energy and that causes a situation that the material vaporizes immediately. The black hole pulls everything in it. And then it starts to vaporize. That forms the new Universe. But that means if there is another person who asks the same question that is purely coincidence. 

If the Multivac could transport information between two systems. The answer that it creates using information from the first system is not 100% sure. Two systems can look identical but they are still different systems. The Multivac should bring information from the future to the same system. And that means information is out of the system for a while. That means the Multivac can make the system different. 


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


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


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


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


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

Tuesday, September 5, 2023

The neural network is the mind of the tiger. The neural network is the mind of the tiger.

 The neural network is the mind of the tiger. 


The difference between traditional computers and neural networks is the role of the CPU. In traditional computers, the CPU (Central Processing Unit) makes all work, and that causes limits in computing. In neural networks, the CPU preprocesses data that senses send into it. That means the CPU will just recognize the situation and then resend it to a sub-processing unit. The receiving sub-system must have responsibility for that kind of case. That means the subsystem has databases where there are reactions for certain types of events. 

In neural networks, all sub-networks use sorted data. And they are meant to respond to things that senses are sending to the neural network. Each of the subnetworks has certain operational or response areas. And the CPU is like some kind of router. The system finds certain details from the data. Then it can route the information to the right subnetwork. In real life, neural networks could be multiple subnetworks. They can act as AI-based event handlers. 

The complete neural network requires that all sub-networks have also a physical system that runs them. In that case, the system has multiple workstations that run the AI-based systems. In that case, the system will decrease the use of the top CPU. If the system uses multiple independently operating workstations. At can handle multiple problems at the same time. Error detection happens when the neural network uses two or more independently operating data handling units at the same time. 






In an ideal situation, the CPU of the neural network is working as a router that can send information to independently operating subsystems. The independent subsystem has a physical computer and its CPU. In that case, the common CPU of those multiple networked workstations sends a message to a certain subunit, and then the AI-based subunit will make the mission and the system sends the data back to the CPU. 

The shape of the neural network is free. The neural network can be a drone swarm. Or it can be the lots of workstations in some warehouse. The neural networks can collect information from multiple sources. And the neural system's power is that it shares data between multiple computers. The neural network doesn't necessarily learn anything. But it can collect data from very large areas. 

The learning neural network follows some parameters for making its duty. The thing that can be the parameter is the drone that operated the longest time in a certain area. The system can store information about the routes and other things that drones use. Then it can multiply the longest-standing drone's operational profile to another drone. 

And of course system must have multiple parameters like when drones were seen, and where the first impact came. The system interconnects the data from all members of the drone swarm. And then it tries to create an ideal flight path to the target. Here we must remember that the same drone that used to deliver pizza can deliver at least hand grenades. The neural network can interconnect multiple systems like surveillance cameras, satellites, and other things like drone swarms. 

Friday, January 20, 2023

The digital "demon": how to increase the quantum computer's power?



Quantum computers are powerful tools. But they are useful only if they can solve problems with a very high probability. The probability that the answer is right is not enough. The system must confirm that the answer is right. Or it cannot use in functional control systems. 

The system is useless if it cannot give the right answers or if the user cannot confirm the answer. And only one wrong answer means that the calculation goes wrong. If that thing happens in the nuclear power plants the results could be devastating. 

The system requires an error-detecting protocol. In some versions, the system uses two main lines for some calculations. That means if those two lines give the same answer. There is the possibility that the answer is right. In that model, the system uses two separate, individual operating units for making the calculations. 

In some versions, the system uses multiple qubits or groups of qubits for the calculations. The system makes the statistics about the answers. And that thing tells. That there is a possibility that the answer is right if the large majority of the group gives a certain value. 

Maxwell's demon is the thinking experiment that should introduce that the second law of thermodynamics does not always apply. The next part of the text includes a straight loan from Wikipedia. You can replace the word molecule by using the words "information" or "qubits"

"In the thought experiment, a demon controls a small massless door between two gas chambers. As individual gas molecules (or atoms) approach the door, the demon quickly opens and closes the door to allow only fast-moving molecules to pass through in one direction. " (Wikipedia, Maxwell's demon) 

The problem with Maxwell's demon is that there are no massless doors. All doors that can close the information flow from the hotter chamber to the lower energy chamber have mass or a certain energy level. That makes it researchers difficult to create quantum networks. 

If we want to send qubit through electric wires we must be sure that the gate or router will not transfer energy to the qubit. Or we must calculate or measure the energy that the gate or router transfer to qubit and remove it. Or otherwise, the system cannot download information from the qubits. So if the demon moves the gate. That thing moves energy to the information that travels through it. 




Image 2) Schematic figure of Maxwell's demon thought experiment (Wikipedia, Maxwell's demon) The image could be the figure of the quantum computer. The data travels from a higher energy level to a lower energy level. And the demon that sits on the computer collects data that travel through the gate. The demon is the input/output system that transports data between the user and the quantum system. 


The description of Maxwell's demon continues. "And only slow-moving molecules pass through in the other. Because the kinetic temperature of a gas depends on the velocities of its constituent molecules, the demon's actions cause one chamber to warm up and the other to cool down. This would decrease the total entropy of the system, without applying for any work, thereby violating the second law of thermodynamics". (Wikipedia, Maxwell's demon) 

So how this thing has a connection with the quantum computer? We can think that a quantum computer has two chambers. Then the system drives information from the higher energy level or "hotter" chamber to the lower energy level or "colder" chamber. 

The system will create quantum entanglements between those chambers. And then, the system can drive information from the higher energy level into the lower energy level. Then the system starts to load information into electrons or some other qubits. It must make sure that the value of the electron is 0. If there are artifact values like 1 the system loses information. 

The system decreases the energy level of electrons or other particles to zero kelvin degrees. The zero kelvin degrees guarantee that the value of the electron is zero before the system starts to drive information to it. But the problem is that the temperature of the individual qubits is higher than zero kelvin. The system can create artifact value by using measurement tools. When the measurement tool touches the electron. It can increase its temperature. And that can destroy or mess up the information because the system cannot determine the zero point of the qubit. 


https://scitechdaily.com/digital-demon-a-surprisingly-simple-method-that-improves-quantum-computing-accuracy-by-20x/


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

https://en.wikipedia.org/wiki/Maxwell%27s_demon


https://shorttextsofoldscholars.blogspot.com/

Friday, October 21, 2022

The shocking fact is that our brain uses quantum computation.



The thing, that makes our brains so effective is that they use quantum computing. So in our brain, chemical qubits are traveling between neurons. And that thing with the ability to begin the operation makes our brain so effective that the best quantum computers are losers. Our brain is an extreme tool that uses at least two speeds in computing. 

Fast-speed computing is basing the electric phenomena that travel on the axons' cores. And another version of computing in the human brain is the slower model that uses chemical or electrochemical qubits called neurotransmitters. 

The brain uses the electric mode to send signals to neurons on how they should handle the qubit or neurotransmitters. That is coming after the electric signal. The purpose of faster computing is that brain can use it in fast reactions. And the slower mode is used to analyze the data. 

The brain uses electric computing to ask what neuron has certain information. And when that information is found, the neuron creates the neurotransmitter. Also, there is the possibility that electric computing is meant to tell neurons what kind of neurotransmitters they must create. And that allows the system to start the data-handling process. At the same moment in multiple points of the brain. 

By researching the brain neurologists and computer experts can create faster and more powerful computers that can learn things similarly to the human brain. Those neural quantum computers can drive the most complicated algorithms. But they are more flexible and suitable for autonomous robots than regular quantum computers. 


When researchers know how the brain operates, they can model that thing to quantum computers. 


The human brain could be a model for quantum computers that can revolutionize robotics. If we want to make a human-looking humanoid robot that can operate on Jupiter, Saturn, and other gas giants' moons' surfaces we must make a system that is more autonomous than any other robot before. The system can use a hybrid system where the electric signals are controlling quantum routers, switches, and gates. 

These kinds of the system require lightweight powerful quantum computers. In those lightweight but powerful systems, the electric impulse tells how the system should route the qubit. So, at the first, the electric impulse to quantum routers and gates, and then those gates can drive qubits anywhere where the system wants. 


https://scitechdaily.com/shocking-experiment-indicates-our-brains-use-quantum-computation/


https://fromplatoscavetoreality.blogspot.com/


Wednesday, October 12, 2022

Human brain cells that live in the dish learn to play pong.



"This is a visual representation of the simulated Pong environment where neuron activity is reflected in the tiles growing in height. Credit: Kagan et. al / Neuron" (ScitechDaily.com/Watch Live Human Brain Cells in a Dish Learn To Play Pong)


Ability to teach neurons living in the dish to play pong might not seem very impressive. But that kind of thing can make the revolution for the development of the next-generation microchips and therapy for neural damage. 

If medical staff can teach cloned neurons they can transplant them to points where the nervous system is damaged. The problem with neural transplants is that the skills of destroyed neurons are gone. So the ability to teach neurons is making it possible to give a new type of therapy for brain tumors and other neural damage. 

But the ability to teach living neurons on a dish is making it possible to create new and powerful tools for controlling computers. Those tools are half-organic microchips where living neurons communicate with silicon-based microchips. That thing makes those systems very flexible. 

If the new skills will transfer to neurons by using synthetic EEG pulses. That thing makes it possible to create a new type of flexible processor that allows the systems to operate more independently than ever before. And of course, those neurons require nutrients. 

So there is the possibility that those microprocessors are connected with cell cultures where is some kind of algae or bacteria that can feed the organic part of microchips. Maybe in the future, the user of the computer must feed those processors by using sugars and nutrients that keep those neurons alive. 


https://scitechdaily.com/watch-live-human-brain-cells-in-a-dish-learn-to-play-pong/


Image:)https://scitechdaily.com/watch-live-human-brain-cells-in-a-dish-learn-to-play-pong/


By the way...





Maybe people of tomorrow can learn new skills by using implants that are put in the nose or the system can also stress the acoustic nerve. The nanotechnical submarine can easily swim in the nose or ears of the targeted person. 

Are you heard of so-called UFO implants? Those implants are mysterious systems that are in the nose of the person. The thing, that makes them mysterious is that the person doesn't remember to put them in the nose. 

There is introduced a theory that those implants are copying memories of the person to cloned neurons. And those implants are giving an idea that in the future. The person can learn also new skills by using that kind of implant.  

Those implants can use the blood of their hosts as a nutrient for those living neurons. The system drives new skills to those neurons in those implants in the form of the EEG. And then that EEG will be driven to the brain through the olfactory coil. That thing makes it possible to create a new way to transfer memories between people. 


https://www.businessinsider.com/biohax-uk-businesses-microchip-implants-employees-2018-11?r=US&IR=T


Image: https://www.businessinsider.com/biohax-uk-businesses-microchip-implants-employees-2018-11?r=US&IR=T


https://fromplatoscavetoreality.blogspot.com/

Saturday, August 13, 2022

The DNA-based superconductors can make trains levitate. And they can also make it possible to create WARP-speed supercomputers.




The superconductors are making UFO technology possible. 


The DNA-based 3D superconductors can use in flat but powerful ion engines. 


The superconducting DNA-based superconductors can use also in the next-generation flat ion engines. Engineers can put those superconductors in two layers. And then the north and south poles of power sources are connected to those layers. Then ions will inject into that system. 

That system accelerates ions to a very high speed. The high voltage makes sure. That the speed of ions increases to very high speed even in the short track.  When those ions hit the air. They form the light flash when they deliver their energy. There is the possibility that the tractor ray or levitation ray can create by using the DNA-based superconductors. 

The system puts DNA on the ground like a carpet. Then the energy will transfer to the DNA rag. And then the ions will start to flow to the bottom of another side of the system. Ion flow can pull even heavy objects airborne.

Or the system can turn the water molecules in the same direction. And high-power magnets can pull even non-metallic objects inside the craft. The water in the target is enough that the magnetic system can pull it inside the hovering craft. 

The DNA-based superconductors are making it possible to create the WARP bubbles that can make it possible to transport information faster than light. The WARP speed super- and quantum computers might break all records in the data processing.  

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


The magnetic levitation that makes trains levitate can also use for making protective fields around objects. The idea is that incoming objects like a small asteroid or ammunition will load with electricity by using the same polarity as the transmitting antenna. 

That thing allows the system can push incoming objects back. So the same effect that makes magnetic levitation possible will make regular ammunition ineffective. 


****************************************************************'



DNA-based superconductors are powerful tools. They are nanotechnical components. That is quite easy to produce large numbers by using genetically manipulated cells. The DNA-manipulated cell can create so-called empty DNA there is no genetic code that makes that thing suitable for structures. And the only thing that this system requires is nutrients and engineered cells that are turned into DNA factories. 

The printer can move those cells above the layers and that means the DNA can form the wires for the microcircuit. Those DNA wires can cover by using fullerene nanotubes. And inside those fullerene tubes can be high-pressure conditions that are making it possible to use higher temperatures in that superconducting material. 

But there is the possibility that the DNA-based superconducting nanostructures are making it possible to create a computer that acts faster than the speed of light. The idea is that those fullerene tubes are surrounded by hollow laser or radio rays. Then the system will push quantum fields away from that tube by using a quantum piston that is a radio or laser ray that removes quantum fields inside that tube. 

The hollow maser or laser ray makes quantum fields inside that structure weaker. And that thing makes it possible that data can travel faster than it otherwise travels. The DNA structure can make it possible to create a revolutionary energy source for space probes. 

The superconducting DNA antennas can use to transmit energy wirelessly to aerial vehicles like probes and nanotechnical tools. And those DNA bites can use for creating more advanced radars and radio telescopes. Those systems can be more fundamental than ever imagined. 


The superconducting DNA antenna can make it possible to harvest energy from the radio waves. 


Space is full of energy fields and radio radiation. Radio waves are the electricity that is traveling in space. 

That radiation can use as an energy source. The superconducting DNA antenna can collect energy for the space probes from those radio waves and energy fields. 

The idea is that there is a DNA-producing cell or "DNA factory" in the space probe and that "factory" creates the extremely long superconducting DNA string in space. That superconducting DNA string can operate as the antenna that brings electricity to that space probe. And that kind of system makes it possible for next-generation missions to deep space. 



https://getaboutcolumbia.com/in-dna-scientists-find-a-solution-to-building-a-superconductor-that-could-transform-technology/


https://www.science.org/content/article/jumping-warp-speed


https://scitechdaily.com/making-3d-superconducting-nanostructures-with-dna/


https://scitechdaily.com/overcoming-the-impossible-with-dna-to-building-superconductor-that-could-transform-technology/


Image :) https://science.howstuffworks.com/space/aliens-ufos/ufo-evidence.htm


Image 2: ) https://scitechdaily.com/making-3d-superconducting-nanostructures-with-dna/


https://designandinnovationtales.blogspot.com/

Monday, March 7, 2022

Synthetic AI-controlled evolution and remote-controlled robots predicted in Stanislaw Lem's novel "Peace on Earth"


New artificial intelligence can develop itself by using Darwinian style evolution. When we think about autonomous synthetic AI-controlled evolution we must remember that modern computing systems are much more powerful than ever before. 

The new complicated AI-based algorithms can search things from the Internet. That allows them to develop themselves. And that thing can make those systems more powerful and more unpredictable than ever before. 

The model of AI-controlled evolution is not quite new. Stanislaw Lem's Novel "Peace on Earth" is one of the darkest predictions about robotics. The theme of that book is that the data networks that are out of control will start to develop new types of systems that are not under nobody's control. 

The novel is telling about a world where is peace. And the weapons are transported to the Moon. But there the systems that have artificial intelligence that can create the intelligent AI-controlled evolution that can create the systems that people cannot predict. And there is another thing that makes this novel very interesting. The thing is called "mixed reality". The "mixed reality" means the robots that are controlled through virtual reality or BCI (Brain-computer Interface). In that novel, those robots are part of everyday life. 

Those robots can use for remote sex. Or the controllers can use those robots as remote bank robbers. The new remote-controlling systems make it possible to use remote-controlled robots for surgical operations. They are planned to use as rescue operators or remote-controlled commando squads. But when robots are coming more common. They might get in the hands of outlaws. 

The AI-controlled machine evolution is possible to make by using existing technology. The combat systems are the easiest to use as an example for the products that are developed by using AI. 

There are three parts to this system. The names for those systems are taken from the novel "Peace on Earth". But before we are going to think about the model of that system. We must understand that the artificial intelligence-based development system can create two things separately or together. 

The AI can develop the physical system itself. Or it can develop the operations of the physical system. In that case, the system selects the most successful actions. In the case of combat drones, that thing can mean the longest operational time against the manned aircraft. Or it can develop them together. But the development system can consist of three different parts. 


1) The super simulator. The system creates virtual aircraft. Or some other system for making the simulated combat against the virtual enemy. 


2) The selective simulator. That simulator goes combat against that virtual system. If the super simulator loses the selective simulator will send the report to the super simulator that knows why its system loses. And then super simulator can make repairments for the product. 


3) The "judge". The system would search which system handles the situation best. Then the "judge" will send the winning model to the selective simulator. Then the super simulator will start to develop a system that can win the last model. So the systems are playing ball with the products. 


This system emulates human brains. And that thing makes it very effective especially if it uses quantum computers. 

That makes this kind of system very effective. Quantum computers can run complicated and heavy artificial intelligence tools. 

The super- and selective simulators are big brains. And the "judge" is the cerebellum. That system's purpose is to select the best of the products. 

The system can collect data from systems. And see what is best in the business. And use that data for making an even better system. 

The researchers are creating new and effective ways to control robots. And some of those methods are basing the cortex simulation. That means the user of the robots cannot make the difference of the robot's senses. Or the senses of the own body. Those systems can be the salvation. Or they can be the worst nightmare that mankind ever created. 


https://bigthink.com/the-present/automl/#Echobox=1646283803


https://techxplore.com/news/2022-03-human-robot-interaction-merging-reality-robotics.html


Friday, February 25, 2022

Quantum computers are taking the place of the number one simulator in the world.




Image 1) 

The image above this text portrays an advanced quantum computing system. Some of the quantum computers of tomorrow can use simply multi-channel radios. For their internal communication. In that system certain channel is a certain state of the qubit. And also the strength of the radio signal can determine the state of the qubit. That means a certain energy level is a certain state or level of the qubit.  

The thing that quantum computers are more effective tools to simulate and test quantum mechanics than binary computers is no surprise. The power of quantum computers is so superior that they can make the same calculations that take months by using binary computers in seconds. Quantum computers are the ultimate tools for creating new types of materials and enzymes, and they can map the DNA. 

And quantum computers can also use to control plasma at the fusion reactors. The thing is that quantum computers can also control nanomachines. The AI that is used to move nanomachines can run on the quantum server. That allows operating billions of nanomachines at the same time. Quantum computers can also control the data on the internet. And they can search and detect malicious code. 

The new solutions in nanotechnology require complicated AI software. And the power of quantum computers makes it possible to drive hard and complicated code and connect the data that is collected from sensors. 

The bright future of quantum computer-based AI means that when the number of the quantum computer increases their prices will get lower. The error detection in quantum computers is a similar process to binary computers. The system uses two or more data handling lines. And if those lines get the same result there are no errors. 



Image 2) Bacteriophage

Quantum computers operate with nanomachines by using similar WLAN systems with regular computers. The communication with WLAN systems will happen through binary computers that transform qubits to radio impulses. The thing is that by using the multi-channel radios. Is possible to send data in the form of qubits. In that case, every channel is a certain state of the qubit. And that makes the WLAN more effective. 

The nanomachine can be the genetically engineered bacteria that are controlled with microchips. The system can use bioelectricity or nano-size batteries for creating energy for those microchips.  The nano battery can be a virus where is small gold bites in the feet. When that gold hits with lead or some other base metal that gives electricity. That means the nanobatteries can create electricity also from hemoglobin. 



Image 3) Microchip on graphene.


The small-size or nanotechnical microchips require a new type of power source. The problem with nano-size microchips is that they need an extremely well-calculated energy level. If the electricity level is too high. That means the electric flow will jump over the switches. 

The newest microchips can create energy from graphene. That system captures the energy of the thermal movement of graphene. And that thing allows using that system also in the dark places. The IR radiation is one way to make the energy for that system. But there is the possibility to connect that graphene with miniature resistors. 

Or it can connect with living cells. When those cells will get nutrients their temperature will rise. And the thermal movement of graphene can cause by all possible thermal sources. That thing can use to control the nanomachines. If some medical nanomachine operates inside the human body it requires the WLAN system to communicate with computers.


https://scitechdaily.com/quantinuum-h1-quantum-computer-beats-classical-system-at-game-designed-to-test-quantum-mechanics/


https://www.thebrighterside.news/post/physicists-build-circuit-that-generates-clean-limitless-power-from-graphene


Image 1)https://scitechdaily.com/quantinuum-h1-quantum-computer-beats-classical-system-at-game-designed-to-test-quantum-mechanics/


Image 2)https://en.wikipedia.org/wiki/Bacteriophage


Image 3) https://www.thebrighterside.news/post/physicists-build-circuit-that-generates-clean-limitless-power-from-graphene


https://thoughtsaboutsuperpositions.blogspot.com/

Saturday, January 29, 2022

New ultra-thin materials are opening the road to personal quantum devices.



The ultra-thin materials are key for making the new type of hybrid quantum processors. The new material is the forming of one atom layer. And they are consisting of the channels where qubits can travel or they can anneal. The quantum annealing systems can be the extremely stable carbon crystal. Between one atom thin graphene or silicon layers. The problem with quantum computers is that the input system for data is problematic. 

Those systems must calibrate to operate in the quantum world. Normal keyboards and screens are using binary computing. And the problem is that the qubit is not similar to a binary computer. When we think that the qubit is like a hard disk that travels in the quantum tube. We can model that the qubit is the electron that has a minimum of three states. And there are let's say 10 accelerator lines or nanotubes where those electrons are traveling. 

So that kind of quantum processor has 30 states in the qubit. The system can benefit the nano-scale binary processors very effectively. In that case, there would be the nanotechnical binary processor at both ends of the nanotube. That means that every binary processor will operate with one qubit line. And that thing makes it possible to make the new smaller-size quantum computer. 


Superconducting copper wires can act as qubits. The qubit's state can determine by the voltage level in the wires. 





1) The input routes to 

2)Binary processors that are loading data to qubits

3)The route of the qubit

4)Receiver and decoder system. That system turns qubits back to the binary system.

5)The binary output to the screens and other output devices. 


The diagram above introduces the quantum processor that has four accelerator lines. There can be four-state qubits that are traveling in the quantum channel. The fact is that there is the theoretical possibility to make those quantum channels by using normal copper wires. 

The thing is that portable quantum computers have fewer qubit layers or states than some super quantum systems. So when we are trying to compare quantum and binary computers we cannot expect that our laptops can make the same things as some supercomputer. 

The superconducting electric wires can transmit electricity in the form where it is sent to that wire. The boxes are at the ends of the system. Are binary processors. That transforms data flow that comes from binary system to quantum mode. And then another binary system will decode them to screens and other output devices. 


https://phys.org/news/2022-01-ultrathin-materials-pave-personal-sized-quantum.html

Image:) https://phys.org/news/2022-01-ultrathin-materials-pave-personal-sized-quantum.html


https://thoughtsaboutsuperpositions.blogspot.com/

Saturday, October 30, 2021

Why computing is a unique thing in business and the environment?



The "open source" is the new thing in the R&D process.


The term "open source" means the use the open data where everybody has access to the development process. The data is collected from the Internet. In the next step, the developer will modify it to the product. The developer can be a single person, or it can be a group of people. 

We might say that the Internet is the great gold mine of information. It offers big data that is not sorted but freely accessible. The developer must only need the right search words for sorting the data that the developer person wants and need to get the needed data for the project. 

There is a lot of data on machinery, sciences, and especially programming. So the internet allows getting all data that people need for their programming. 


Software development benefits the "open source" of all free access information. 


The thing is that programming doesn't need anything more than skills. That means everybody can learn programming languages. And start to make programs and algorithms. That means almost everybody can turn to the developer. And if they are working in the home by using own computers outside their working time. 

Nobody even knows that they are developers. And the other thing in business architecture that makes computing unique is that it is like a "necessary but unseen" thing. So for other business architecture, the development of computing has the same position as a stepson. That means the bosses are giving orders and then the development team makes the thing that is needed. 


So the thing in computing is that it's against the standard business models. 


The standard business model is that everything is controlled from upstairs. The model is that the head of the company is giving orders and resources. And then the henchmen are making the things real. But the thing in computing is that the work that those people are making is mostly virtual. The programmer might make the code by using even Notepad, and then the programmer copy-pastes the code to the programming editor. And then that person must make the normal debugging process and remove errors. 

The thing in the R&D process of software is nobody controls that thing. The R&D in the things like artificial intelligence is self-controlled. That means the people who are ruling the business environment cannot do anything for those processes. They might kick those developers out, but they cannot make anything for the developing process itself. 

Everybody can buy their PC and make code what they want. And that means the people who are not using the computers owned by some third party. Nobody can affect to processes that are made by those computers.  The editors can be found on the internet.  


The "open source" software development is one of the most interesting things in the world. 


At the beginning of this text, I wrote that "open source" is more than some programming. The real term for "open source" development could be "open engineering". 

Many people think that "open source development" is only some kind of Linux development. The fact is that Linux development is only one part of the large sector called "open source" development. 

We should describe the "open source development" as the development where is used open literature and open Internet sources. There is lots of data on the internet that is waiting for its finders. But getting access to that data requires that we know the right words for searching those things. 


https://networkedinternet.blogspot.com/

Tuesday, September 7, 2021

Wireless nano-scale neural sensors allow making better BCI(Brain-Computer Interface)



The new nano-scale neural sensors allow making the new and more effective BCI (Brain-Computer Interface), what the old-fashion single-chip systems ever can be. The BCI system could be one of the biggest advantages in computing that has ever been invented. And the BCI is the system that turns the thought into physical actions. 

The nano-scale BCI can position membrane over certain brain areas. When those microchips are positioned over the brain membranes those surgical operations are easier to make. If doctors are trying to connect those chips straight with the neural structure that operation requires brain surgeons. 

If the microchips are over brain membranes. The surgeons have not touched the neural tissue when they implant those chips. If the microchips do have not straight contact with neural tissue installing them doesn't need the brain surgeon. So in this multi-chip BCI system over each brain area is an independently operating microchip that can use neural electricity as a power source. 

When there is a small and thin microchip over every brain area like motion brain area. That allows separating the EEG from every area better than using one microchip. Another advantage could be that those microchips are not put inside brains. They can be the EEG sensors that are operating wirelessly through the skull or skin. If those microchips have enough accurate sensors they can position under the skin of the  

They can position over the membranes that are protecting the brain or neural tissue. The system can communicate with every type of device by using BlueTooth or some other mobile communication protocol. When we are talking about the BCI control robots and other systems. We must first make neural access to the computer. And then through the computer interface use the BMI (Brain Machine Interface). 

The use of the BCI requires that the system gets accurate EEG curves in use. And if over every brain area is an independent microchip that allows getting very accurate information of the electric operations of the independent brain areas. And if we think that BCI is used in two-ways communication between the computer and the user. 

The microchips that are put over the sensorial brain areas can transmit data to the nervous system. And that would make the computer act with the human mind without borders. But how the BCI will input the data to the computer. The idea is to use the same brain areas that are making it possible to write the words.  

Writing is like speaking. But during writing, the movements that are reserved for the mouth are moved to the hands and fingers. So recording the EEG from the brain lobes that are producing the words before the hands are writing them. Those EEG pulses can transfer to the computer. On the computer, those EEG curves are transformed into letters and they will send to a modified text-to-speech application. And then that application will send the text to the interface that operates computers or robots that are connected with that computer. 

()https://scitechdaily.com/wireless-microscale-neural-sensors-enable-next-generation-brain-computer-interface-system/


Image:()https://scitechdaily.com/wireless-microscale-neural-sensors-enable-next-generation-brain-computer-interface-system/



Tuesday, February 27, 2018

How can the mobile telephone be used as 3D-modelling?


(Picture 1)


https://www.instagram.com/p/BfbSDw5FIdC/

Kimmo Huosionmaa

How can the mobile telephone be used as 3D-modelling? The answer to that question is simple. This thing uses the same device, what would focus lens of its camera. It also connects the data from the camera of that telephone. So this makes those mobile telephones very sophisticated tools for modeling. The problem of those scanners is that the mobile telephone must be absolutely stable, or the modeling would be failed.


But this can be solved by using selfie-stick, what is installed on the table or stable platform, and if the hands of the stable enough, the scanning can make by keeping the device in hand. But the fixing of this problem could be found from GPS. If this system would be sharp enough, the telephone could fix the errors, what shaking hands causes. In this solution, the GPS would map the place where the telephone is in the sharpness of only small part of the millimeter, and the computer would calculate the errors of the metering.


The system would take the original point, when scanning is beginning, and then it would fix the error what the shaking of hands might cause. This would be done by adding or subtracting the location in the real world of the phone, from the values of the pure ring. This would make the scanning more easier. This little program can revolutionize the CAM (Computer Aided Manufacturing) -technology.  Now any firm can buy this kind of equipment and use it as making 3D-models for CAD programs and 3D printers.


In this system, the computer in the mobile telephone transmits the distance between the target and telephone by using sonar. Sonar is almost as effective scanning tool as a laser, but the sound travels in the air much slower than air.


The optics of the mobile telephone would focus using Sonar and the situation where the user notices it is when this person wants to take a picture what portraits horizon. In this case, the system of the camera cannot get an echo from the surface, and the optics of camera cannot focus the image.


I have read some articles that same radars what are used in traffic light as traffic calculation sensors could be mounted to RPV-helicopters. Those helicopters can be used to make 3D-models of entire building areas. They use oblique scanning, what is connected to GPS and computing platforms to make 3D models of buildings. The computers would make 3D pictures by those pictures, what this device sends to computers.

Sources:

Picture 1


http://crisisofdemocracticstates.blogspot.fi/p/how-can-mobile-telephone-be-used-as-3d.html

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