Successfully working AI offers flexible and effective solutions, especially in dangerous work.

Successfully working AI offers flexible and effective solutions, especially in dangerous work. 

The U.S. Navy's first independently operating surface vessel enters the service. Robot warships are extremely powerful systems if their technology works. As somebody suspected, navies are the first users for independently operating robots. 

The ships offer large spaces and guaranteed electric support for high-power computers. Those high-power computers are required for driving complicated computer code. The large-size warships can act as drone carriers. But those warships can also have 3D printer tools for creating custom drones and repairing parts for manned and unmanned systems. 

But when we are looking at the military systems, we must realize that the military tells about those systems only things that they must tell. The Turkish navy plans to equip its aircraft carrier with drones. And that tells, something about their effectiveness. 

But then we must realize that the U.S. Navy, along with some contractors are developing robot submarines. "Orca" class submarines are highly classified. The "Orca" itself is a miniature submarine, but there could be projects where full-scale nuclear submarines operate as AUVs (Autonomous Underwater Vessels). 

There are two types of robot systems. Fully autonomous. And semi-autonomous systems. 'The semi-automatic systems are highly automatized systems where the minimum crew operates those vessels. Theoretically, one man can operate full-scale nuclear submarines. Some of those semi-autonomous systems are vessels in which computer-based systems are operated remotely. Or AI operates secondary systems like anti-aircraft and anti-missile systems.

But fully autonomous systems are more effective. The systems are less vulnerable to electronic warfare. And they can operate basically in the same missions as manned systems. 

https://www.defensenews.com/smr/unmanned-unleashed/2018/02/23/for-the-army-a-3d-printed-drone-is-nice-a-customized-3d-printed-drone-is-better/

https://www.imeche.org/news/news-article/3d-printed-military-drones-assembled-in-a-matter-of-hours

https://www.popularmechanics.com/military/navy-ships/a43033206/navy-ship-can-operate-autonomously-for-30-days/

https://www.thedrive.com/the-war-zone/navys-85-foot-orca-unmanned-submarine-will-be-a-minelayer-first

https://en.wikipedia.org/wiki/Orca_(AUV)

Chat GPT and other artificial intelligence platforms are still under development.

 Chat GPT and other artificial intelligence platforms are still under development. 

Some experts say that AI is still the grab. But otherwise, that kinds of artificial intelligence tools are good tools for bringing customers to homepages. Along with AI, the company can market its other products to customers. Those customers bring data for the system, that can use for R&D work in the AI-development. 

The fact is that AI is still under development. And that means there is lots of work to do if we want to make AI that can go shopping independently or that can discuss with people like real people. The next-generation version of AI-based bots can create programming code independently. 

And that is a very big thing, and it decreases the use of the workhours. But then the AI requires development so that it can make works independently. When something goes wrong the first thing that should do is search for what went wrong. If the AI is not complete, it would not give any answers. 

When the developer develops the AI. There could be radio buttons in the correction box. From those buttons, the developer could select would that person wants to correct the answer's grammar, vocabulary, or involvement.

When we develop something. We must remember that success is not the news. We see stories of malfunctioning systems. When we are reading about cars, we see many stories of accidents. Nobody is interested in those billions of successful driving hours. We see only cases where something or somebody makes mistake causing terrible accidents. 

 If the AI makes one mistake in 50 000 0000 operations, that thing can bring very big headlines for stories. But the fact is that AI is an impressive tool if we want to bring customers for other products. That kind of thing is interesting. And one interesting version of the business model is voluntary development or "open application development". 

In that model voluntary development brings more rights to use AI. So, when the AI gives the wrong answer or says something wrong, the developer opens the form and then corrects the answer. There could be "radio buttons" in that box where the developer can choose what type of corrections will be made to that answer. 

And if the answer is some kind of question about information, sources like used homepages are good to connect that answer. And if the grammar is wrong the developer would just push the button and tell the machine what it should say. And how it should say that thing. 

Is AI some new bubble in the ICT business?

Media is always full of cases where that AI fails. And in many cases, people expect too much from those tools. AI is not intelligent. It doesn't make new solutions. When the AI sees a program, it selects from the event handlers the solution. 

That meant for that of case. Every single case where AI needs to react requires its unique event handler. And the event handler requires a description of the case. 

The event handler is the bite of code that determines how the system must react to cases that the system face. If there is no event handler for some cases, that means the system cannot react to that case. 

The biggest problem is that every possible case requires its event handler. if the robot must operate independently on the streets. It requires a large number of event handlers. 

Driving a car is easier to AI than just walking. Because in traffic are strict regulations for the actions. That means programmers must not create so many event handlers for the car. But that kinds of systems are at prototype levels. 

When AI discusses with people it just asks search engines about the things mentioned in the discussions. Then it connects texts from a certain number of home pages. The accuracy of what the AI uses determines what kinds of answers the AI gives. 

Older social AI selected answers from databases made for it. And if the user asks the wrong question the AI says: "Sorry I don't know the answer". Or it asks the user to tell the answer to the AI. In that model, the user teaches the software or makes a new record for the AI. 

The future is always hard to predict. Trends are changing in the ICT business very often. And the big headlines about AI cause situations in that many corporations invest in that technology. Things like ChatGPT and the Microsoft Bing-cooperative AI are interesting. And social AI brings publicity along with new users for the Bing search engine, and those social AIs are effective tools for marketing. 

AI-based software can do many things. They are excellent tools for many things like making automatized programming using AI is the hottest thing in ICT. And if companies don't follow trends and turn boring they will die. That's why trends have a special meaning in the ICT business. And it's a virtual world where people make business by selling code. 

In the ICT business like in all other business sectors companies need new products all the time, that they can offer to customers and leads. The AI is not yet ready. It's a product that requires lots of work. But that is the purpose of the R&D work. The ChatGPT and its colleagues are nothing more than algorithms and databases. That is offering information for next-generation AI. But does AI mean the next bubble in the ICT business? 

In the past things like virtual game worlds and virtual meeting rooms were hot things in the ICT. Virtual reality and especially net-based virtual reality is also rising. The hybrid conference rooms where a person walks in a game-type environment and goes to a room, where colleagues are introduced as screens on virtual walls are reality. 

The reason, why mobile multimedia tools, like Microsoft HoloLens, are not as successful as they should be is that if a person uses those VR glasses while jogging that could cause falls. But otherwise, those HoloLens can connect to an infrared camera, or drones like quadcopters can transmit their images to those screens. 

Those systems can also connect with satellites, and people can share their action camera images by using mobile telephone-based applications. But civilians have very little use for that kind of tool. Repairment workers could use those things if they connected with wrist cameras. And that helps them to see things that are behind some corners. 

But there are always new trends in ICT. Then those things became old -fashion. Well, all new tools and applications require lots of data. They require the ability to handle very large data masses. The faster internet and more powerful computer technology mean that the systems can handle more and more complicated code. And that allows the creation of new and more powerful AI-based systems. 

But then somebody says that AI is the risk. In the same way, we can find risks anywhere. The biggest security risk is other people. So the AI itself is not at risk. The thing that makes risks are people who allow AI to make things that are risking people. 

If the AI software is not completed, and it drives the car, that causes a very big risk to the environment. Also, if humans give weapons to the AI it turns dangerous.  The situation is similar like we would give a gun to some child. The thing is that AI is not intelligent. It does only things that programmers made to it. This is the thing in the AI and development work. 

https://interestandinnovation.blogspot.com/

"The Barge Haulers on the Volga" can show the problem of the entire Russian society.

The worst problem in Russia is that it cannot respond to modern technology. Russian products are raw materials like oil and gas. And they buy almost all microchips and other technology from the west. The lack of modern technology is seen in Ukraine's conflict. But the problems are deeper in Russian society. We must realize that society and nations are much more than some military forces. 

The lack of microchips is visible in many things. Modern civil and military systems require microchips because they are using AI. AI is impossible to use without computers. But the problem is that the Russians are not putting resources into that technology. Everything that is not visible is neglect. 

That thing is not seen only in the Russian military. It's visible in the entire society. Russia is like a barge haul that its people are pulling to the past. That thing requires lots of work, and sooner or later those people who are resisting the change are falling. They cannot resist change forever. 

Above this image is the famous painting "Barge Haulers on the Volga". When we think about the symbolism that hides in this painting, we can see that is the entire situation in Russia. In that painting, we can see that Volga is the time. And barge haulers are people who want to resist change. When they want to pull state that is the ship to the past. They need lots of energy. Their entire time goes to resisting the river which is the change. 

Even if the national leaders are against change, they must realize that resistance requires lots of power. When the hands of those barge haulers are tied, they cannot write. Because they don't see anything else, they don't know about a better life. 

And that is one thing that is seen in modern Russian and post-Soviet communities. Governments in those countries resist the change even if that costs their entire nation. The only thing that means something is the position of the leaders. 

Only people who require the past are the people whose work and positions are under a threat. Somebody who resists the change might say that the livelihood of those barge haulers is threatened. 

But then we might ask: would that person take the job as one of those people, who pull the barge haul? Of course, if the beginning point in that work is being the chief of those men that seem a very good and ecological way to work. 

But would you make the work as a barge hauler? This is one way that we must realize before we can justify some other people and change. If we would sit on that ship and turn the rudder, that work seems very easy and light. But if we would pull that barge haul by using our muscles, we might see that this work is hard and boring. 

https://shorttextsofoldscholars.blogspot.com/

Why do we always remember only failures?

 

The blimp near Mexican border. 

When a person is once wrong, that doesn't mean the person is always wrong. But for some reason, we always remember only negative things. If the researcher made good research. And create fundamental things. The only mentioned thing is failures. That thing is called criticism. 

But does real criticisms mean that all thing that person makes is justified as false because some of the works didn't work? Should people still notice some successful things when they analyze some people's work? 

We all make mistakes. That is one reality. There is no perfect person on Earth. When some researchers make mistakes, they must analyze what caused that mistake. There is some reason for mistakes. Did they start introducing some opinions too often? Or did somebody else misunderstand the testimony? 

When researchers make their work. They must analyze evidence and search for things like DNA. And if somebody shot the UFO down researchers must analyze the material captured from the crash site. Before research all conclusions are non-scientific. 

There were plans in the 1990s to send balloons to search Venus and some other planet's atmospheres. So that means also balloons can have an unknown origin. Before research and analysis, it's impossible to close any possibilities away,

The media is full of stories about the "little green men", and then the astronomer's reputation is gone. People are laughing when a 150 Euro microwave oven caused a fake alarm. And then that thing is always destructive for research. 

At this point, I must say one thing. Even the best researchers in the world are helpless if they cannot see the thing that jet fighters shot down. In that case, they must follow the flow of evidence that some other publications in the media. 

The broken microwave ovens are objects that send radiation frequently all the time. When that radiation hits metal or some other atoms and molecules they change its frequency. But the problem is that this thing happens very often. 

Spy balloons are another problematic thing. There was the story that one of those balloons was sent by some "balloon brigade". And then the good joke was that the 12 Euro balloon cheated millions of Euro's jet fighters. 

The fact is that those hobbyists should tell where their balloons are flying better. The high-flying balloons are used for mapping stratospheric winds. And normally, the GPS and sticker are telling the origin of those balloons. 

So that was confirmation of the origin of one of those balloons. But there were two or three more balloons. The problem with balloon spying is that those balloons can carry systems that measure signals that jet fighters and air defense use for detecting their targets. 

People think that research is like reading some kind of book. If we think like that. We believe that we can take a couple of last pages from the book, and then we have the solution. When astronomers get some strange-looking "non-natural" signal. 

They must confirm its existence. And that is one of the hardest things. If some of those signals happen only once there is no way to confirm them. That signal comes from the direction of Proxima Centauri doesn't mean that its origin is in the Proxima system. 

In the same way the "face of Mars" is interesting. The images are somehow "interesting" because there even if they are sent using Viking frequency. That image could portray an undersea area. So did something come to the frequency that the Viking orbiter used? So does that "Cydonia image" actually portray something, that is on the ocean floor? That thing is one of the most interesting things in the world. 

Image: https://www.army.mil/article/8327/aerostat_visible_over_redstone_arsenal

https://shorttextsofoldscholars.blogspot.com/

The main problem with a quantum computer is how to separate qubits from their background.

"Researchers have discovered that complex random behaviors naturally emerge from even the simplest, chaotic dynamics in a quantum simulator. This illustration zooms into one such complex set of states within an apparently smooth quantum system. Credit: Adam Shaw/Caltech" (ScitechDaily.com/The Future of Error Correction: Taking Advantage of Quantum Scrambling)

The problem with a quantum computer is that system must detect and separate the qubit from its background. A qubit is a particle that has multiple states. And the biggest problem in quantum systems is the energy flow. The energy level in the qubit must be different than in the background. There is a possibility that the qubit's energy level is higher or lower than its background. 

In the image from the top of the text, you can see the problem with the background. The energy background in nature has different levels. And that thing can cause that when qubit travels over those energy pits that affects the energy level of the qubit. 

Image 2 portrays a neutron star. But it can also portray an electron or any other elementary particle. The elementary particle forms the (super) strings or extremely small skyrmions. That is positioned around axle-looking structures. Each of those skyrmion strings can have a different energy level. 

When the system reads information from the qubits it can decrease their energy level. Or it can increase the qubit's energy level. When the qubit reaches energy maximum, it releases data that is loaded to superstrings string by string. And gamma-ray laser can be useful, for that kind of thing.

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Gamma-ray lasers. 

Wigner crystals or fullerene nanotubes can create synthetic gamma rays. The idea in this kind of gamma-ray laser is that the fullerene nanotube is turned o a Wigner crystal. And at the bottom of this tube is graphene where are also trapped electrons. The system works like the LRAD system. 

The electrons from the bottom of the tube are stressed with energy. That is conducted through graphene. The electrons that are in the fullerene tube are stressed with energy. That means that radiation left from electrons at the bottom must travel through that radiation. And that increases the power of the radiation. 

The diagram. A low-power gamma-ray laser. 

1XXXXXXXXXXXXXXXXX

2D>>>>>>>>>>>>>>>

1XXXXXXXXXXXXXXXX

1) Fullerene nanotube where electrons are trapped. 

2) Graphene layer that sends radiation from the bottom. 

>>>> Radiation that travels through radiation increases its power.

This kind of system could use for reading the information from the qubit. 

 

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And the quantum system stores information in those strings in the wave movement form. When the system starts downloading information from the qubit it removes energy from those strings. When the energy level matches with the certain superstring that superstring will release information stored in it. There are other ways to download information from qubits. One is using laser light that shot over qubit. 

In that case, the laser light should resonate with every superstring separately. If the frequency of laser light causes resonation in some superstring that laser light acts as a carrier wave and transmits information to the receiver. There is also the possibility to aim some wave movement like gamma rays at those electrons. And that radiation can allow downloading data from qubits. Below this text is a link to a ScitechDaily.com article about quantum error correction. 

https://scitechdaily.com/the-future-of-error-correction-taking-advantage-of-quantum-scrambling/

https://informationnevervanishes.blogspot.com/

The digital divide is visible everywhere.

The AI is coming. And we must prepare for that. The worst thing we can do is try to slow advance with regulations like prohibiting some software. We must understand the opportunities that AI can give. But we must know that AI has a weakness. It doesn't know if the person who fills the forms tells lies. 

If AI doesn't get the right information. It's useless. Sometimes somebody says that AI takes our workplaces. But some other people ask what kinds of jobs the AI takes. Are they some well-paid and wanted workplaces? And would those skeptics make those works themselves? 

The digital divide between people increases inequity. The problem with the digital divide is that not formed between poor and rich countries. It's visible even in small workplaces and small communities. 

Even in western countries, and in high-tech corporations are people with no necessary computer skills. That kind of thing is problematic. We know that some people resist any kind of changes in workplaces. 

They use their power to deny things like Google Translate. The justification for those web-based applications is a risk to data security. Maybe the thing is true, but some people think it. That those prohibitions make their work slower and more difficult than it should be. 

During pandemics, we saw cases where people resist their remote work. They think that the workplace is meant for social behavior. But the problem is that the employer doesn't pay for social relations. The employer pays for work. And every euro that the employer pays for some other things is euro that the employer can put in some other place. 

Artificial intelligence is a good tool for many things. It is useful for a support system. The AI can use for sending personal support requests to the right person. If a person studies in some school the AI can offer the form, that the person can get the right help. If the person lost the password, the system doesn't need to call the doctor. Or if the person's work clothes break up. That doesn't mean that person needs some micro-support. 

When AI assists medical doctors with diagnosis, we must realize one thing. The AI must get the right information. When the AI starts the assistance. The patient can fill out the form like we do when we go to the dentist. 

But the problem is that the patient must give the right information. If the patient tells lies like claims to be a no-smoker but still smokes that thing causes a situation where the doctor might not even suspect that cigarettes cause some breathing problems. 

When we think about sleeping problems, alcohol use, and smoking. Those things can tell about mental problems, like stress. Many people think that it's embarrassing to talk about mental problems. And that's why there should be questions that person is easy to answer. 

Those questions can be questions, about sleeping, how much alcohol a person drinks, or smoking. And a computer can simply ask when the person goes to sleep. A person who fills out those forms must dare to tell the truth. If there are problems, the staff must find out the problem. We all have problems. 

And we must understand that we must not give up even if we are depressed. But are we depressed or just tired? This is one of the biggest problems. 

The researcher can ask how much a person walks, or make some other physical exercises. Those things tell about how the person handles life. And research is important for finding out the right way to help the person. 

When a team recognizes a person's need to get assistance or help they must know the problem. Without that thing, a person will not get the right kind of help. Sick leave is not always the right solution. 

If a person doesn't handle stuff. That is need for work causes stress. New situations are always stressful. And people must understand that thing. Things like a new environment, new responsibilities, and many other things are stressful. That thing causes sleeping problems. And if the person just plays some computer games all night long, that causes a situation that looks like depression. 

Does the person need a psychologist to tell the need to change lifestyle? The problem is that if a person has some kind of problem with computer games, sharing time, or some other things, that person needs help.  But how to describe the problem, or what makes something a problem?

Description for a gaming problem could be that person is late from lectures or work because that person plays some computer game. We can describe the problem using this description: those things start to dominate life. That domination is visible when the person is always late because of gaming etc. 

But the problem is that the person who has a gambling or game problem doesn't recognize the problem. The last one plays other computer games than gambling. When we see one visible problem, there might be more problems behind them. 

NASA Maxwell X-57 all-electric aircraft made a thermal test for its cruise engines.

  

All electric aircraft are the tools that can revolutionize aviation. Electric engines can use to make aircraft silent. So the next-generation aircraft can use electric engines for lift-off from city areas and fly away from cities. Then they can start to use their jet engines. That thing can use to lower the noise that aircraft create. The "flying cars" or cheap VTOL (Vertical Take-off and Landing) aircraft can use by officials and private actors. The all-electric engine systems allow them to operate from any parking lots. 

There is also the possibility that all-electric vehicles can also act as submarines. Today those "flying submarines" are small quadcopters that can operate in airborne and underwater conditions. But it's possible to create larger, manned models of those small drones. 

If the electric-powered aircraft uses a wireless electric supply. There are no limits to the time that this system can operate. The system can create wireless power by using laser-aimed lighting. The electric-powered aircraft is not necessarily slow. Research teams in China, Russia, and the USA test the plasma-jet engines their electric arcs are making plasma. And then magnets are driving that plasma backward. The plasma-jet engines allow aircraft can travel even at hypersonic speed. And then the system can also use the remote energy supply without landing. 

The plasma-jet engines also allow the "flying submarine" can fly at high-speed. The same engine and its magnetic track can use as MHD (Magnetic Hydrodynamic Drive). And the shape of that system can be a winged cigar that can operate airborne and underwater. 

There created the idea that large-size quadcopters can use to rise jet aircraft from the ground and then fly them to the area there are no people. Then those helicopters simply drop that aircraft. And it will continue its flight by using jet engines. There are also plans for manned quadcopters that are using turning blowers. The winged quadcopter rises like all other quadcopters, and then it can turn its blowers backward. And that allows it to operate faster than regular helicopters. 

https://likeinterstellartravelingandfuturism.blogspot.com/