Researchers connected ADHD with Alzheimer's. (Dementia)

 Researchers connected ADHD with Alzheimer's. (Dementia)

New research connects ADHD with Alzheimer's. The thing that we must realize is that ADHD patients have more often social problems. Sometimes ADHD patient is "weird". And those people have problems with their social relationships. 

ADHD patients must concentrate harder to keep themselves calm than other people. If we must always concentrate on our behavior and be afraid that somebody sees something that we don't want to tell that causes stress. Stress causes high blood pressure. 

"Scientists have discovered that short-term fluctuations in blood pressure are linked to cognitive impairment and increased vascular problems in older adults. These fluctuations, overlooked in clinical treatments focusing on hypertension, also correlate with arterial stiffness. The findings suggest that monitoring blood pressure variability could serve as an early marker or intervention point for preventing dementia, even in individuals without noticeable cognitive decline." (ScitechDaily/Early Warning Sign Identified – New Research Links Fluctuating Blood Pressure to Dementia)

ADHD patients drop out more often than others outside of working life. That causes stress and those people will more often than regular people fall into some alcoholist or drug-using gang. 

The social problems cause bad lifestyles like the use of tobacco, alcohol, and unhealthy food. Tobacco causes high blood pressure, and alcohol is bad for the nervous system because it dissolves proteins that create the neuron's shell. That kind of thing can explain why ADHD patients get more often Alzheimer's than regular people. Things like too much alcohol that destroys too much and too high blood pressure are things that cause Alzheimer's. 

The fluctuation in blood pressure is also the thing that linked to dementia. When people have high blood pressure. They get drugs that decrease blood. The problem is that the blood pressure will rise between those pills. That causes fluctuation in that pressure. In that process, the blood pushes against blood vessels. And that separates plague from the walls of those vessels. 

https://scitechdaily.com/early-warning-sign-identified-new-research-links-fluctuating-blood-pressure

https://scitechdaily.com/from-hyperactivity-to-memory-loss-the-shocking-adhd-link-to-dementia/

Russia shot down one of its Su-35S fighter-bombers.

Russia shot down one of its Su-35S fighter-bombers. 

Human error, or somebody who might jam the jet fighter's IFF (Identification Friend or Foe) system, can cause this kind of episode. So if we talk about human errors, we should ask what caused those errors. Or maybe someone forgot to drive the IFF codes to the computers that control the AA systems. 

The jammer systems that deny the IFF system to transmit their codes to AA radars can cause situations where their air defense shoots aircraft down. Modern jet fighters and attack aircraft have only a couple of minutes or seconds to react when they see unknown, maybe hostile aircraft. If the aircraft comes closer to the headquarters would be an enemy attack aircraft, like the Ukrainian MiG-29 armed with "Storm Shadow" missiles, that aircraft could destroy the headquarters. 

One version of how to break the stealth technology is to use the IFF systems as the target.  AA crew can aim antiradiation missiles at the IFF system. Those radio transmitters are one vulnerability in stealth aircraft. 

The IFF system is a problematic part of the aircraft. The radio signal, that the IFF system sends makes aircraft vulnerable against the radar-homing missiles. Jammer systems that send radio signals to deny radar- or radio communication are vulnerable against antiradiation missiles. This means there are always new systems under development. 

Electronic warfare is becoming more important in modern battlefields. The drone systems require communication. And if the system can jam GPS and data communication. That makes it harder to use drones and communicate with troops. Also, jammers can deny the drone swarms internal communication. The jammer systems can be the target for HARM-type missiles created to destroy ECM systems and other radio transmitters. 

The stealth is the ultimate tool. But the next generation of radars and surveillance systems are hacking the stealth. The CCD cameras and lidar systems are making old-fashioned stealth useless. Same way next-generation AA radars might use pressure waves and other non-direct observation methods to uncover the stealth. The pressure waves around the aircraft are possible to detect by using AI-controlled systems that connect the data from multiple sources. 

And the weapon development is the race between the ultimate attacker and ultimate defender. The next-generation IFF systems might also use AI-based radar systems. The radar sends the identification request to the IFF system that answers that request. Then the AI starts to follow the aircraft that closes the IFF. And if it loses the target it can ask for identification again. That thing minimizes the need to send radio signals all the time. That helps stealth planes to complete their mission and makes them harder targets for enemy missiles. 

https://www.19fortyfive.com/2023/10/dont-tell-putin-russia-shot-down-one-of-its-own-su-35s-flanker-fighter-jets/

https://www.msn.com/en-us/news/world/russia-shot-down-its-most-advanced-fighter-jet-over-tokmak-uk-mod-says/ar-AA1hFMaT

Robot ants can destroy foreign species like fire ants.

 Robot ants can destroy foreign species like fire ants. 

Fire ants are a new foreign species in Europe. Those ants are aggressive and harmful foreign species.  The problem with poisons is that some ants and ant queens will survive from poisons whose mission is to destroy the ant population. 

Those insects turn immune to poisons, and used poisons also affect useful insects. The robot ants or cyborg ants can be used to destroy queens from the population. Robot ants offer non-poisonous alternatives for the poison that causes danger in nature. 

Fire ant

Cyborg bug

 Someone introduced the idea, that things like ants can destroyed using cyborg ants. Cyborg ants are ants equipped with microchips that take them in command. The operator can equip some ants by using microchips. 

And then they can use those implanted ants to destroy eggs, and cyborg ants can assassinate the queen from the nests. Implanted cyborg insects can be used to carry pollen into the wanted vegetables. That thing makes the harvest better. 

The cyborg bugs also could be used in the drug war. Those small-size robots can used to carry harmful fungi to those drug plants. In some other visions, the small robots can simply cut the pistils and the heads of the stamens. That thing denies things like opium poppies the ability to make seeds. 

https://www.insidescience.org/news/brief-worlds-smallest-remote-controlled-cyborg-bug

https://scitechdaily.com/red-alert-invasive-fire-ants-confirmed-in-europe-for-the-first-time-one-of-the-worst-invasive-species/

The next step in generative AI is interactive generative AI.

   The next step in generative AI is interactive generative AI.

The interactive AI means that the person just talks to AI and then AI follows the orders. The ability to use the natural language makes it easier to communicate with robots. The human operators can give instructions to robots on what they should do next. 

The interactive AI-based translator makes it possible. People can use their languages in communication whenever they want. The translation program can installed on cell phones. And then people can use it like any other social media program. The communication could happen through central computers where the server program translates words to the target language. 

Or the system can use the morphing network or cloud-based architecture where a cloud of cell phones shares their calculation capacity. Interactive AI can also be a powerful tool for programming and any other things like the R&D process of physical tools. 

The interactive AI can give instructions to programmers. Or it can generate the code from examples. Then the AI asks for the databases' names that want to connect with the program. If AI has access to hard disk, it can search those databases itself, and make the paths. 

There is the possibility that the AI has a multi-tasking user interface. If the names are not  said clearly. The AI can ask to write those filenames. Or it can suggest files that look a little bit about the name that AI heard. The AI can give lists about the found names and then the user can select the right one. 

The next big step in the development of AI is interactive, generative AI. Traditional generative AI just follows the order like "draw me a flower". And then the generative AI just creates that image. Interactive AI discusses with the user, it asks what colors and surfaces the user wants to use in the flower. 

The person can ask to make the yellow flower with crystal leaves and metallic surface and interactive AI just starts to make the flower. During that process, after every stage, it asks is customer happy. Is there something that wanted to change, or is there some hue of color that the user wants to use? 

If the user wants the AI to make a painting, the AI might ask if is there some painting, that the user wants to use as the base. Then the AI asks what parts are the best in the painting, and then it might ask what details the user wants to use in the AI-generated version. 

In the case of the R&D process, the interactive AI is the tool that can ask if is there some airfield where the aircraft must fit. Then it can ask some special variables what are the wanted payload and other abilities that the system must have. If AI creates drones it requires the computer code, that it uses. 

The complicated AI requires powerful computers, and those computers require cooling systems and other kinds of things. Also, the sensors and other things like the drone's purpose determine it's size. The things that the AI also requires are manufacturing tools and available materials. Interactive AI is a tool that discusses with people during the generative process. 

If the interactive AI  drives a car it acts like a second driver. The system might observe a human driver, and if that person is tired or nervous, it can ask what's problem, is and tell that the person needs a break. The interactive AI can take information from the traffic control and adjust the car's speed to a level that it must not stop. The AI can also make a report to authorities if the person seems drunk or somehow angry and request traffic police to stop the driving. 

If a driver makes the mistake that takes the car into the traction. AI can fix that error. When AI takes control the clutch separates the wheel from the power steering so that the driver cannot turn the car. That thing is an important detail in robot cabs. If a drunk person can take a car in control, that thing causes a terrible situation. 

When every single wheel is operated in separate electric engines the AI can adjust their rotation direction and rotation speed. These kinds of systems can installed in hybrid and electric cars. This type of vehicle can use diesel- (or combustion)-electric driving systems. And those systems make them very fast. 

https://www.analyticsinsight.net/interactive-ai-a-step-closer-to-conversational-artificial-intelligence/

The neural spiral in our brains can mean very much to the human species.

    The neural spiral in our brains can mean very much to the human species.

And researchers can use the human brain as the model for AI-based solutions that are better than ever before. 

The neural spiral in the human brain is an impressive thing. It transmits information around our brain. And that thing is suspected behind the consequence. The thing in the neural spiral is that it gives brains the ability to analyze situations better. 

And that neural spiral gives us the thing called patience. That neural spiral makes our neural system better than insects. In insects neural system signals travel in one direction and that thing gives them an effective ability to handle information. 

But that thing means that if an insect decides to attack it will not think about the situation anymore, and that thing causes death if it attacks against the superior predator. If a human sees a cave bear human will go to a weapon before the hunter even thinks of attacking against bear. The neural spiral gives the hunter deliberation, and that ability is the thing that can save the hunter's life. 

Researchers used the human and other specie's brains as a model for high-power supercomputers. The human brain works like a computer. And that means it can give a model for next-generation systems. 

The thing is that researchers can model the neural spiral from the human brain into computers and morph networks. The AI-based morphing network means that the system can, as an example, forget things. The AI can have values that if the system doesn't use some database in a certain time the system removes those files. 

If we think about the mark of the recycling center, we can think that arrows are the sequences or pulses when data travels between computers. And at the end of every pulse is the computer. The system drives data in the direction where arrows show. And every time the data travels through the computer, that system analyzes the data that is handled by a computer. That is behind that ring. 

Image: Recycle mark can used as a model for spiral computing structure. Every arrow symbolizes the pulse where information travels between computers. And then after each pulse, the information travels through the computer that processes it. The number of processing sequences depends on how many times information travels in that circle. 

So the system can send the data to travel around this spiral or ring, and in every pulse, the data system can breed the information. That kind of system can be the ultimate tool for AI to analyze data. The type of those computers is not important. And they could be regular binary computers, DNA-based computers that can drive billions of programs at one time or they can be quantum computers. 

The AI-based kernel can make computers more powerful than ever before. And carbon nanotubes can make lightweight quantum computers possible. Every layer in the carbon nanotube is one state of qubit. So the four-layer carbon nanotube can act as a qubit where is one layer for zero, and three layers are for states 1,2, and 3. In the image is a layer nanotube, that could have qubit states 0,1 and 2. 

Maybe those lightweight systems are not as powerful as some superquantum computers. But they are more powerful than modern binary PCs.  And nobody expects that laptops can make the same things as supercomputers. 

The AI-based kernel can improve the system's power in every computer type. The binary computer can use different wires for transmitting one and zero. In that model, electricity that travels in wire one gives value one. And the electricity that travels in the wire two gives a value of zero. That thing makes the binary computer faster than ever before. And AI-based kernels can make this kind of system possible. 

By using fullerene nanotubes is possible to transmit information. In the form of qubits. In that model, each layer in a multi-layer nanotube is a certain state of the qubit. The quantum system can transfer data to those multi-layer carbon nanotubes. And that makes some kind of lightweight quantum computer possible. 

If there are four layers in the nanotube, that thing means that there is one zero layer and three states in qubits. This kind of system might not seem very impressive. But we can say that this kind of system's calculation power is enough for many simulations. 

The fact is that. The Internet allows to use of high-power quantum computers over the net by using laptops or even mobile telephones. That means the high-power quantum computers can be far away from their users. 

So lightweight quantum computers are not as powerful as super-powerful quantum computers that are in data centers. We can say that we don't even think that some laptops or home PCs have the same calculation power as some supercomputers have. However, the internet allows the users of the laptops can use the abilities of supercomputers. 

https://neurosciencenews.com/perception-brain-computer-23919/

https://www.sciencealert.com/liquid-computer-made-from-dna-comprises-billions-of-circuits

https://scitechdaily.com/biological-masterpiece-evolution-wired-human-brains-to-act-like-supercomputers/

Radio transmission is the weak point of modern military drones.

  Radio transmission is the weak point of modern military drones. 

The new British military jet-propelled "Hydra 400"quadcopter is an interesting design. 

The new jet-propelled drone is an interesting design. The jet-propelled quadcopter can fly fast. And it can raise more cargo from the ground than electric engine drones. There is a possibility that these kinds of quadcopters can used as "quad autogyros". 

In those designs, the quadcopters use their quad rotors for lift-off and landing. During a long-distance flight. The drone can use free-rotation propellers and a jet engine. And that thing makes those drones fast. 

Those drones can used as kamikaze drones. Or they can launch missiles like Javelins if they are connected to them. The kamikaze quadcopters are interesting tools because they can observe the area. And if there are no targets those drones can return to base. 

But if there are some kind of targets the drone can make it's surveillance mission and then attack targets when their flight time ends. The drones can use an image-recognition homing system that allows them to take out targets with very high accuracy. 

Above Hydra-drone. 

The military is interested in independently operating drones is that those drones don't require full-time communication between the drone and HQ. The Ukraine war shows how dangerous full-time radio communication is. If the electronic intelligence finds the transmitter, the enemy can turn every cannon against those command centers. So the kamikaze-recon drone can transmit data to the command center and then dive against the target. And that helps to hide the place of the command system. 

The full-time operating radio transmissions are dangerous for drone swarms. The drone swarm where hundreds of members is a suitable target for large anti-aircraft missiles or AA grenades. Similar ELINT systems that are used for track radio transmitters also aim AA cannons at those drone swarms. High-power radio waves can jam the data communication in that drone swarm. 

Those missiles could equipped with a similar homing system as HARM (High-speed Anti Radiation missiles). The HARM-type missiles are also deadly against any radio transmitters. 

Normally HARM is shot from the aircraft. Portable shoulder-launched Stinger missiles also have a so-called "Anti-radiation variant" called Stinger ARM (Anti-Radiation Missiles) that can detect and destroy enemy radiation sources. That makes radio telephones missile magnets if the enemy can track their positions by using radio detectors. 

But there is the possibility that those missiles can be mounted on rocket launchers or warships. Warships can also use those missiles against enemy surface combat unit's radars. And that means the artillery rockets and grenades can have a warhead that can detect radio transmitters. 

https://interestingengineering.com/military/british-army-jet-propelled-drones

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

Chinese researchers manipulated miniature robots with laser rays.

    Chinese researchers manipulated miniature robots with laser rays. 

Manipulating miniature robots with lasers can lead the road to next-generation nanotechnology. The system can manipulate nanostructures by benefiting the different material's ability to absorb different wavelengths. In another version, the feet and arms of the nanorobot are made by using different materials. And in that case, different materials can move by using lasers with different wavelengths. 

The system can benefit the protein and temperature interaction that affects the length of protein fibers. 

When a laser ray hits material it raises its temperature and makes it possible to manipulate the bonds. So if the left leg of the robot absorbs blue laser light stronger than the right leg, that causes a situation in which the laser raises the left leg's temperature. That thing causes a situation. Where the left leg moves faster than the right leg. 

"Researchers develop tiny "dancing" robots." (https://interestingengineering.com/innovation/chinese-researchers-create-dancing-microrobots-using-lasers)

The ability to manipulate nanomaterials makes it possible to create complicated structures that do not require internal power sources. And that makes it possible to create complicated molecular structures that the system can manipulate by stressing them with multi-band laser rays. That kind of ability can improve nanomachine abilities. 

The complicated actions require complicated movements. And that thing gives molecular-size nanorobots new roles. In medical work the nanorobot that looks like a hairy ball can slip in the cell. Then the laser will send energy impulses to those balls that will push their hair out. That causes a situation, where the ball fills the cell. 

In some other versions, the limbs are a different number of photovoltaic materials. That means laser affects those limbs at different times. But in complicated models. The laser ray can simply transfer electricity to the miniature robots. Lasers are multipurpose tools that can transport information and electricity, and lasers can used as weapons. That makes those systems interesting from the point of view of DARPA. 

Those laser systems can do all those missions. They can used as tools for delivering commands and electricity for small-size drones. That thing is one of the ways the systems can use their multi-use capacities. 

https://interestingengineering.com/innovation/chinese-researchers-create-dancing-microrobots-using-lasers

https://scitechdaily.com/quantum-breakthrough-scientists-develop-new-way-to-manipulate-exotic-materials/