The distributed electrochemical random-access memory, ECRAM is a new tool to handle AI.

 

"Researchers have, for the first time, decoded how Electrochemical Random-Access Memory (ECRAM) works, using a special technique to observe internal electron behavior even at extreme temperatures. This hidden mechanism, where oxygen vacancies act like shortcuts for electrons, could unlock faster AI systems and longer-lasting smartphones, laptops, and tablets." (ScitechDaily, Ghost Highways in Memory Chips – The Secret Electron Shortcut to Lightning-Fast AI)

New things like AI require new equipment. The AI is a combination of complex algorithms, and that system requires a new, faster way to handle memory and its combination with the software. In traditional computing, the microchip calls the program from RAM (Random Access Memory) for driving. When the computer must always call millions or even billions of algorithms. 

That thing makes traditional computing slow. "In-memory" computing where data is handled in multiple memory blocks at the same time can be the answer to that problem. In that model, every single memory chip has its own processor. 

Whenever the computer drives a program the code travels through the microchip. That kind of way where all data travels through the microprocessors is quite slow. There are tested systems where each RAM component has its own microchip that gives the system a new multicore way to handle data. The data can be handled in a memory chip which decreases the need to transport it a long way. 

That decreases the temperature in the wires. However, the problem is that all microchips create temperature. And that system just transports the temperature problem to another location. 

The new systems called "in-memory computing" where calculations happen straight in memory are anyway tools that allow to make faster and more effective computers. If we think that the system uses a distributed way of data-handling processes, that system can mimic the quantum computer. 

The system their calculations happen non-centralized in multiple independently operating memory units that can operate as a virtual quantum computer. The system can share calculations or operations with those data handling units. Each of those data-handling units can act like a qubit state. So "in-memory computing" can allow the system that can operate as a virtual quantum computer to make it faster than a regular, centralized computer. 

"A schematic representation of in-memory computing using electrochemical memory devices (ECRAMs) arranged in a cross-point array structure, mimicking the way synapses in the brain process information. When voltage is applied to the device, ions move within the channel, enabling simultaneous computation and data storage. This study reveals how ions and electrons behave under applied voltage, uncovering the device’s internal operational dynamics. Credit: (Pohang University of Science and Technology,POSTECH) ((ScitechDaily, Ghost Highways in Memory Chips – The Secret Electron Shortcut to Lightning-Fast AI)

"In-memory computing" allows the system to handle multiple operations at the same time. The system can share the memory blocks into segments. And when the system accomplishes its job.

It can give output to the screen. Then the block waits for new orders. Or it can tell other blocks that it's free, and if those other blocks require help it can offer its resources to them. 

 But in the same way as human brains the "in-memory computer" can continue some other operations backward. "In-memory computers" acts like human brains. 

There is always space for a new mission. If the system must run multiple tasks at the same time, it can reserve a certain number of memory units for each job. When some job is done the computer can share those free resources with jobs that need them. 

"In-memory computer"mimics human brains. Because the system has multiple data-handling units that can share multiple problems the system doesn't need to stop for a new mission. The single unit must stop but the entirety can always take the mission. The reason why our brains use that model is simple. All neurons work as groups. There are always free neurons that can take a new job. And when the other neurons finish their mission. Those neurons can call others to assist them. If the problem is difficult brains will connect more and more neurons to operate with it. 

But that system requires new memory technology called Electrochemical Random-Access Memory, ECRAM. The system mimics human memory. This means there are two states in that memory. The electric state and chemical state. Basically, the idea of the ECRAM chemical memory is simple. When the molecule is in a certain position, it has a state of 0. And the other position is 1. The problem is how to make that thing in practical solution. Those positions can be physical or they can be the ion states. Or anion can be 1 and an ion can be 0. There are multiple ways to make that thing possible. ECRAM technology should produce less heat than a regular electric data-handling process. 

1) "ECRAM (Electrochemical Random-Access Memory): An electrochemical memory device whose channel conductivity varies according to the concentration of ions within the channel. This behavior allows for the expression of analog memory states. The device features a three-terminal structure consisting of a source, drain, and gate. By applying voltage to the gate, ion movement is controlled, and the channel conductivity is read through the source and drain."(ScitechDaily, Ghost Highways in Memory Chips – The Secret Electron Shortcut to Lightning-Fast AI)

2) "Parallel Dipole Line Hall System, PDL Hall System: A Hall measurement system composed of two cylindrical dipole magnets. When one magnet is rotated, the other rotates automatically, enabling the generation of a strong, superimposed magnetic field. This configuration allows for enhanced sensitivity in observing internal electron behaviors." (ScitechDaily, Ghost Highways in Memory Chips – The Secret Electron Shortcut to Lightning-Fast AI)

https://pubs.aip.org/aip/apl/article/106/6/062407/29245/A-parallel-dipole-line-system

https://www.quantamagazine.org/what-is-distributed-computing-20241125/

https://scitechdaily.com/ghost-highways-in-memory-chips-the-secret-electron-shortcut-to-lightning-fast-ai/

Artificial viruses bring new winds in medical treatment.

The new biological sciences and genetic applications are impressive. Things like 3D collagen can help to print living tissues and maybe organs. The system can make 3D bioprinting using normal bioprinters.

And the problem is where to get those cells. If those cell's shell antigens are wrong, the immune system destroys those cells immediately. 

When researchers want to make things like bioprinted bones they need lots of cells. And one answer to that problem is cell reprogramming. In that process, the system changes the DNA from the cell's nucleus. The problem is how to make enough cells in a short time. 

Because if people need that kind of thing, that happens in non-predicted accidents. The system must make a number much cells in a short period. The answer can be the artificial viruses that can make that reprogramming process. 

If researchers want to print a 3D organ like the liver or even the brain the system can use large-scale cell reprogramming. The idea is that the system puts those cells in the 3D mold. 

Then the artificial viruses can reprogram those cells by removing their DNA. Changing those DNAs into new ones the virus changes the type of the cell. 

That should transform those cells into the wanted tissue and organ. This kind of therapy makes it possible to turn even bacteria into the tissue that replaces the old one. 

The new knowledge of the cells and bacteria. And their DNA makes it possible to manipulate cells. And their operations with new and effective accuracy. 

Another thing that researchers noticed. The cell's role in the human body depends on the nutrients and metabolism. This knowledge can make it possible to create artificial tissues using cell cultures and boost things like immune systems. 

The growing knowledge of the DNA sequences. And their effect on cells. 

Make it possible to create cells. That transforms themselves and their roles. The same cell can destroy bacteria. And then it can act as the building block of the blood vessels. 

The artificial immune cells can transport bacteriophages to the desired point in the human body. 

Those viruses can search and destroy non-wanted cells. 

The AI is the tool. That can search the DNA sequences in a very short time. The AI can see people's DNA and find out why somebody will not get the flu. 

The artificial cells and bacteriophages can replace many antibiotics. But before we can say "goodbye" to antibiotics. We must have complete information about the mechanisms. That the bacteriophages use, when they target bacteria. That mechanism helps to find or create artificial viruses that can target things like cancer cells. 

The human gut has its bacteriophages the mission is almost certainly to make sure. That the gut bacteria are in balance. 

By following those phage viruses researchers can get more information about how the phage selects the bacteria. And maybe in the future, those bacteriophages can also transfer DNA bites that cause bacteria to die. More or less artificial viruses can be used to destroy non-wanted cells. 

And researchers think about the possibility. That they can remove those phages from the gut. During antibiotic treatment. Then they will return those viruses to the gut by using genetically engineered cells. Those cells create phages.

Another thing that those phages can do. It turns the immune defense stronger by helping immune cells destroy bacteria. That they cannot otherwise reach. The intestine is a hard place for the immune cells. And maybe those phage viruses handle immune cell missions in the intestine.   But otherwise, they can make the gut bacteria more vulnerable to antibiotics. 

Artificial viruses are excellent tools for genetic therapy. Artificial viruses can also boost the killer cells's ability to find the non-wanted cells. The idea is that. 

The virus can carry the DNA, or mRNA bite. That gives immune resistance against some antigens. That thing can boost an ability to fight against cancer. The mRNA programs the immune cells to select and destroy things like zombie cells. 

The hope is in so-called NK (Natural Killer)-cells that memory is enhanced using the mRNA or some kind of microchips. This requires precise operating systems that can select non-wanted cells more accurately than before. But that requires very highly accurate genetic engineering. 

https://www.quantamagazine.org/how-metabolism-can-shape-cells-destinies-20250321/

 https://scitechdaily.com/can-we-program-life-rewriting-the-rulebook-on-how-cells-self-organize/

https://scitechdaily.com/printing-the-future-of-life-how-3d-collagen-scaffolds-grow-real-tissues/

https://scitechdaily.com/scientists-bioprint-living-tissues-that-could-revolutionize-diabetes-treatment/

 https://scitechdaily.com/scientists-flip-a-gut-virus-kill-switch-and-expose-a-hidden-threat-in-antibiotic-treatment/

 https://scitechdaily.com/new-hope-memory-enhanced-nk-cells-could-revolutionize-cancer-treatment/

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

What if we put computers to think mathematically?

When we think about programming and the computer's memories every single memory unit in the computer hardware has a certain address. The artificial intelligence connects and disconnects those memory points into the new orders. And that can make a computing process that mimics thinking. Every single memory address is like a piece of the puzzle. If every single memory unit has a certain number that makes it possible to point certain points from the computer memory. 

When we think about things like thinking we could easily connect those memory units with orders that the large language model, LLM gets by using the numeric values of the memory units and then calculate them with the ASCII marks. In the ASCII system, every single mark on the keyboard has a numeric value. 

For example, the letter A has a numeric value 61 in decimal and 41 in hex. A little a (a) has values 97 in decimal and 61 in hex. That's why it's not the same as the letter big or small in passwords. The numeric system is also important. The hexadecimal ("Base-16" system where the 10 comes after 16) and regular decimals are different. 

In that system 10 is marked in the numeric line like this. 0,1,2,3,4,5,6,7,8,9,A,B,C,D,E,F,10. In binary system 10 comes after 9 like this. 0,1,2,3,4,5,6,7,8,9,10.

Same way every single color has a numeric form in the computer memory. The system is known as RGB.  The system can use CCD cameras to make observations. 

Another thing is to use the values that fit to computer or programmer better. The color red can have a numeric value "200" and then the depth of that color can have 99 states. The system can turn every color into its own numeric value. 

The deepest red can be the 299. The data that CCD camera pixels give can be numeric. The system can see what numeric value every pixel gives and then it can make the model about things that it sees. So all data that travels into the system can turn into numeric. 

Token ring. If we think of this model as the computing cycle of the AI.  The system connects data into that data cycle. Every point in the cycle. There is the computer's image.

This can be the new way to handle large language models, LLMs are not to turn their mathematical models for words. The system can translate data that users input there into the mathematical model. Then the LLM starts to operate and process data in the mathematical form. That kind of thing can be lighter for computers than the words that we use. Mathematics is easier for computers, and when we think about the ability to turn words into mathematical form, we must remember that ASCII codes are basically numbers. Those numbers can sum, division, and multiplicate easier than words. 

That means the LLM can turn every single word that it has into numbers. Then that system can make calculations using the numbers. The ability to handle data in numeric form makes those systems more effective. The system can use the "token ring" type data handling, or computing model. The token ring model is known from data networks. However, the same model can introduce how the system surrounds data in it. Every time, when the system makes the data cycle it connects information into that data cycle. 

The system makes a certain number of calculations in every round. In those calculations, the system connects data from the sensors and memories in the data flow. The system doesn't need to show that information to the users before it drives it through the cycle as many times as ordered.

https://www.geeksforgeeks.org/ascii-table/

https://www.quantamagazine.org/to-make-language-models-work-better-researchers-sidestep-language-20250414/

https://www.rapidtables.com/web/color/RGB_Color.html

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

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

The quantum network can be closer to reality than we think.

"The new operating system is the first in the world that allows quantum computers with different kinds of qubits to function together in a single network. (Image credit: hh5800 via Getty Images)" (LiveScience, World's first operating system for quantum computers unveiled — it can be used to manage a future quantum internet)

The quantum network can offer a new. And a very secure way to communicate over distances. The quantum Internet will be a very trusted way to transmit data because data is connected with particles. The particle that travels in the quantum internet plays the same role as neurotransmitters play in the nervous system. The qubit can be a photon, electron, ion, etc. 

Basically, the quantum network's principles are known. Details cause problems in the system. When the main problems are solved. The next step is to turn to solving problems with more and more accurate details. 

And the final steps before the full-scale operating quantum networks are very short. When we think about this kind of network from the point of view of the R&D work the first steps are long, but then the accuracy increases and that makes the steps in advance turn shorter. So the last things before the goal are the longest. 

But when the quantum network comes, that thing makes the ultimate state of security for communication. 

A quantum network can be like a hollow tube. 

That tube acts like a particle accelerator. And a qubit travels in that system. The system mimics the human nervous system. The problem is how to eliminate the Hall effect because vertical fields can damage information in a qubit when the system shoots it through the line. Another problem is unexpected effects like gamma-radiation that can destroy the qubit. 

The qubit travels in the quantum channel mimics the axon. The computer centers mimic neurons. The system routes the qubits into the right routes. 

And the computers or the nexus centers can also make copies of those qubits. And that subsystem sends them into different routes. The information about the right routes can travel in the shell of that system. 

The quantum network might be closer than we think. The quantum computer is a good tool for controlling and administrating quantum networks. In those systems, every state of the quantum system can administrate or control certain quantum channels. The system can create a copy of the arrived qubit and send it back. 

That allows the system to check. If there are some errors. The system requires at least a duplicate quantum line to make the data check. If both lines have identical solutions the answer is true. Increasing the number of data lines makes the system more trusted. 

The quantum network can mimic the axon. Electric signals, or control signals operate the quantum route. Can travel in the quantum channel's shell. 

The qubit can travel in the hollow quantum channel. The qubit has the same role as neurotransmitters in the human nervous system. The data that the qubit carries is connected to the particle. And that makes the quantum computer and quantum network safe. There are two ways to make the quantum network. The first one is to use the superpositioned and entangled particles. 

But making that spooky action in distance possible at long distances is very difficult. Another way is to pack information into the particles like photons, electrons, or ions and shoot them through the quantum channel. The quantum channel itself is like a particle accelerator that accelerates those qubits. The problem is how to eliminate the Hall effect or Hall field from that channel. 

Those vertical energy fields can destroy information from the qubit that travels through them. And other problems are things like fast energy bursts from the universe. Those things can destroy the qubit.

https://www.livescience.com/technology/computing/quantum-internet-breakthrough-after-quantum-data-transmitted-through-standard-fiber-optic-cable-for-1st-time

 https://www.livescience.com/technology/computing/worlds-first-operating-system-for-quantum-computers-unveiled-it-can-be-used-to-manage-a-future-quantum-internet

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

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

Maybe quite soon we can control our memories.

"A study found that transcranial direct current stimulation (tDCS) can subtly influence decision-making by altering activity in the brain’s dorsolateral prefrontal cortex. Anodal stimulation sped up decisions, while cathodal stimulation made participants more likely to stick with previous choices, suggesting changes in cognitive flexibility." (ScitechDaily, Study: A Simple Brain Stimulation Method Could Speed Up Decision-Making)

Brain stimulation can help people to make faster solutions. This ability is important in situations where people need fast thinking. The brain stimulation can make the fighter pilot, or some other operator's performance more effective. The stimulation can be installed in the helmet and it can improve the person's abilities. 

But brain stimulation can make many more things. Then just make a person think faster. The new brain implants or brain stimulator microchips don't need complicated surgery. And that brings the Brain-Computer-interfaces, BCI closer to regular people. 

The ability to remove and manipulate memory is one of the most interesting, promising, and frightening things in engineering. Removing painful memories makes it possible for people to recover faster. There are risks to that kind of technology. Those risks mean that in the wrong hands technology allows to erase non-wanted things from people's heads. 

And in some very dramatic movies memory erasers can remove memories from people's head who worked as mercenaries. 

This technology is at the laboratory level. But as we know technology goes very fast. Our knowledge of brains and memories advances. And that accelerates this kind of research. 

The ability to transform memories means that negative things can be connected to positive feelings. And that thing can improve therapies. The ability to create fake memories is one of the things that is seen as a negative thing. The positive way to use fake memories can be to use those artificial memories for educational purposes. The difference between fake memories and normal education is that fake memories are made using brain stimulation. 

The system stimulates neurons in brains and they create the artificial sense of touch and smell, as well as other artificial senses. In normal computer lectures. The senses that we use are only senses of sight and hearing senses. Artificial memory means this. We remember how we move our hands and smell things. Brain stimulation means that we cannot separate artificial memories from real memories. 

When we learn something we make a memory block for that thing. Fake memories can help people to learn normal things like biology, programming, or mathematics. The fake memories can also help people to prepare for difficult medical, or military operations. Fake memories can save people's lives because they can make it possible to train fast training of things like medical skills. And if somebody is injured in the dark forests fake memories can help their partners to learn medical skills very fast. 

"Transcranial magnetic stimulation (schematic diagram" (Wikipedia, Transcranial magnetic stimulation)

The two ways operating a transcranial magnetic stimulation, TMS system there is the transmitter and superconducting receiver can turn the system into a circle of the saint (halo)  above the person's head. That system allows two-way communication between computers and human brains without surgery. 

Maybe those things will be a reality tomorrow. When we talk about the thongs as a medical way to erase memories the best solutions can be the combination of medicines and electric, and electromagnetic brain stimulation. Transcranial magnetic stimulation, TMS, and deep brain stimulation, DBS can manipulate any brain center.  The interactive TMS system there a very accurate superconducting sensor that receives the brain signals can make Elon Musk's Neuralink old-fashioned. 

Those systems can stimulate sleep centers and put people to sleep. Those systems can also deny neural signals from reaching the pain center in the brain. The misuse of those systems can simply cut the operations of the respiratory center. And that can be a horrifying assassination tool. 

"Pharmacological interventions have been at the forefront of brain eraser research for decades. These approaches typically involve using drugs to disrupt the consolidation or reconsolidation of memories. For example, beta-blockers like propranolol have shown promise in reducing the emotional impact of traumatic memories when administered shortly after the event or during recall." (https://neurolaunch.com/brain-erasers/)

"But drugs aren’t the only tools in the brain eraser toolkit. Psychological techniques, such as cognitive behavioral therapy and exposure therapy, can help individuals reframe and process traumatic memories, effectively “erasing” their negative emotional impact. These methods don’t physically remove the memory but can significantly alter how it’s perceived and experienced." (https://neurolaunch.com/brain-erasers/)

"Neurostimulation methods, including transcranial magnetic stimulation (TMS) and deep brain stimulation (DBS), offer another avenue for memory manipulation. These techniques use targeted electrical or magnetic pulses to modulate brain activity in specific regions associated with memory processing. While still in the experimental stages, early results have been promising, particularly for treating conditions like depression and obsessive-compulsive disorder." (https://neurolaunch.com/brain-erasers/)

"Perhaps the most cutting-edge approach to memory erasure comes from the field of optogenetics. This technique, primarily used in animal studies, involves genetically modifying neurons to respond to light. By precisely targeting specific groups of neurons, researchers can activate or inhibit memory traces, potentially offering a level of control over memory processes that was previously unimaginable." (https://neurolaunch.com/brain-erasers/)

Depression and other behavioral disturbances form when those magnetic waves disturb the neurotransmitters. During this process, the TMS or DBS systems stimulate neurons. And that causes neurons to release more neurotransmitters than in normal cases. The TMS or DBS are systems. That requires a very deep knowledge of the human brain. Those systems can also replace things like some anesthetic medicals. They can simply cut the neuro-signal path in the neural systems. 

https://neurolaunch.com/brain-erasers/

https://www.sciencealert.com/scientists-have-figured-out-how-to-to-erase-your-painful-memories

https://www.sciencefocus.com/the-human-body/should-we-delete-our-memories

https://scitechdaily.com/study-a-simple-brain-stimulation-method-could-speed-up-decision-making/

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

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

The next step is the Chinese robot army.

One of China's priorities in AI is to create a robot army with advanced AI control. The difference between Western nations and China is that the military and security needs are always over the law. There are no rules or limits on how those authorities can collect personal information. 

The Chinese military plans to make an autonomous robot army. Those robots can use even Kung Fu. All robots do not look like humans. Robot dogs can be very versatile systems. Those systems can cooperate with drones that can carry them to roofs and other places where they can make unexpected things. In that case, those robots can operate as teams with quadcopters. 

The robot army is the next logical step in robot and AI development. SciFi writer Isaac Asimov introduced that horrible vision in his novel "The Naked Sun". In that novel, the fictional planet called "Solaria" created the robot mass-army. 

That vision is coming into reality. The AI or large language model, LLM, is a tool that can be used to command any robot in the world. The only thing that the robot requires is an Internet connection. The house-keeping robots like robot hovers are excellent tools for house-keeping. But the question is always: what else does the system make than just clean houses? 

The robot can transmit every single word that person says to the surveillance room. The LLM operates through the modified speech-to-text and text-to-speech applications. The system can select and link certain words to the third party. That party can be the security police. So you can ask yourself why Chinese authorities support a marketing policy, that every single Chinese must get their own tablet computer and own little robot at home. 

The humanoid robots or man-shaped robots are the Swiss army knives for people. Those robots can use any tool and weapon that humans use. The humanoid robots can operate in dangerous places like highly polluted areas. Those robots can operate as housekeepers and they can visit to shop for people. But those robots can also operate as fighter pilots. 

They can connect themselves to the aircraft's communication- and computing units. The humanoid robot can communicate with other systems like drones, satellite surveillance cameras, and even mobile telephones. The humanoid robot can operate as a bodyguard. The difference between people and robots is that robot's skills are computer programs. And robot's mass memories are not like human memory. The operator can erase mission recordings after the robot does its job. 

The robot with an image sensor can recognize any target from the streets. So when a robot recognizes the "enemy" it just can attack the target. And the biggest difference between humans and robots is this: robots have no conscience. That means the robot always does its mission. So, the bodyguard robot can also have a mission to deny things like leaps to the opposite side. So, if high-ranking people talk about prohibited things those robots can arrest them. 

The robot can have a so-called ghost protocol. That means that if the person who owns a robot acts against the state, that thing like wrong words activates that attack mode. Another risk is this: if the robot comes from a country that goes to war with the country where it's shipped the seller can simply download an attack program to the robot. The humanoid robot can look like a dummy or lay figure. When the operational order comes those dummies can jump through windows and march to the gun store. And that is one of the darkest visions in robotics. 

https://www.defenseone.com/technology/2025/04/chinas-military-aims-harness-coming-chatgpt-robotics/404811/

https://www.msn.com/en-ca/news/world/us-report-reveals-china-s-plans-to-develop-an-army-of-robot-soldiers-with-advanced-ai/ar-AA1DyCku?ocid=BingNewsSerp

https://www.newsweek.com/china-killer-robots-unitree-robotics-191756

Maybe your DNA is hacked.

"Next-generation DNA sequencing is at risk of cyberattacks. A new study urges action to secure genomic data and prevent misuse, highlighting emerging threats and calling for interdisciplinary collaboration and stronger cyber-biosecurity measures. Credit: SciTechDaily.com" (ScitechDaily, Experts Sound the Alarm: Your DNA Could Be Hacked)

When we use services that analyze our DNA for us, or, some medical units send our tissue samples for cancer tests. Those companies can also read the DNA from that sample. 

Those companies sell that information to other bio- and genetic technology companies that use genetic data in medical research. 

The idea is that large-scale DNA samples can help to track genetic disorders. That connects with some diseases. 

That helps to predict some cancer types and behavioral problems. Mapping things like hereditary diseases helps people to avoid lifestyles that can cause risks to them. Some diseases are a combination of genetic disorders and outcoming effects. 

When DNA data is stored in the digital model.

 It's possible. Hackers steal that data. Genetic data can hide information that causes risk to a person's health. 

The computer hackers. Those who have access to the system can use the DNA data to track targeted people's family members. 

But when we think about things like biohacking it's possible to steal the DNA sample from the person. Things like toothbrushes involve very much DNA. And the biohacker can simply put the object's saliva on the layer. Then send the DNA to the company that makes the analysis and then that company sends those results to the E-mail. 

In that case, the biohackers must not have experience as hackers. They must only order the DNA tester from the net. And then send the other person's DNA sample in their own name to the company that makes that analysis. 

That thing can give access to the targeted person's personal information. 

That is kept secret even from authorities. DNA can tell about things like cancer risks or diabetes, but it can also uncover many other serious things. The DNA controls everything in our body. 

And one of the most dangerous things that DNA can uncover is things like sociopathy. That kind of thing can misused horrifyingly. 

https://scitechdaily.com/experts-sound-the-alarm-your-dna-could-be-hacked/

Modern technology and private espionage.

 

When we think about private espionage as the espionage that private companies make, we can say that companies like Satlantis,  SpaceX and IceEye can be the next step for private espionage. Those companies can provide satellite and radar satellite services. That can beat the national espionage programs. 

IceEye's radar satellites show their capacity in the Ukrainian war. Those radar satellites can see Russian convoys. The Starlink system can also route all information that travels through it to its operators. The private ELINT satellite can be a reprogrammed Starlink-type communication satellite. 

Some companies provide high-resolution images from the ground. They operate highly advanced satellites. The first of those commercial high-resolution that provide quite high-resolution images was Ikonos. The Ikonos launched into space in 1999 and it retired in 2015.  The resolution of those images that this civil geo-observing satellite could provide is about 1-1,5 meters. And that was a very high-resolution system.  But its successors are more advanced. 

Today satellites are more advanced than Ikonos. Those satellites' sensors are more effective than the Ikonos ever been. Those systems can take images of about 30cm in size tells those satellite's marketing page. Things like spectroscopes can offer a view of the chemical compounds that the engine exhaust gas involves. 

When we think about free-to-use services like Google Earth. It is always mentioned. That the data that those services publish cannot harm anybody. 

Things like military bases are not updated very often. The image below is taken from Google Earth and it's from the Severomorsk area. Details are taken by zooming those Google Earth images. 

Above: Google Earth image of Severomorsk. 

That service can also provide information about the classified areas. The data is not the newest possible, but it involves interesting details. The satellites. Advanced computers, AI, and radar technology allow the creation of remotely or automatically (AI) controlled airships or stratospheric satellites that can offer very high-resolution radars, lidar, and optical images.  

Computer-based systems can connect data from satellites and stratospheric satellites. The new artificial intelligence-based solutions that can remove pixels for zoom images open new visions to private espionage. 

Private espionage is the most interesting and dangerous thing in the world. Any private investigator can buy things like drones and mobile telephones and take images of the objects. The drone can carry microphones or the private eye can use laser microphones or hack the surveillance cameras. There are also things like intelligent glasses that private espionage people can use to film offices. Then the operators can find interesting details from those films. 

They can slip mobile telephones. That are polluted with malicious software into the office. 

And that's why. Some people are worried about the free electronics. Like tablets. That the Chinese online stores offer. 

The fact is that. It's possible to slip an espionage program into those systems. And that system can act as a gate for hackers. 

https://www.freethink.com/artificial-intelligence/private-intelligence

https://www.iceye.com

https://www.worldview.space/remote-sensing

https://www.satimagingcorp.com/satellite-sensors/ikonos/

https://www.satlantis.com

https://www.starlink.com/

https://en.wikipedia.org/wiki/Ikonos 

The new AI-based tools can make fundamental advances in astronomy.

"A new AI called Urania is transforming gravitational wave detection by designing superior, sometimes bizarre detectors that challenge current scientific understanding. The best designs are now shared for global research. Credit: SciTechDaily.com" (ScitechDaily, When Machines Dream: AI Designs Strange New Tools to Listen to the Cosmos)

"Einstein imagined gravitational waves over a hundred years ago, but it wasn’t until 2016 that technology finally caught up. Now, researchers are pushing the boundaries again – this time with the help of an AI named Urania." (ScitechDaily, When Machines Dream: AI Designs Strange New Tools to Listen to the Cosmos)

Developed by Dr. Mario Krenn and his team, Urania has designed a series of novel gravitational wave detectors that not only match but often exceed the capabilities of existing human-made concepts. What’s most fascinating is that the AI didn’t just replicate known strategies – it invented brand new ones, some of which scientists don’t yet fully understand. These discoveries are now publicly available in a “Detector Zoo,” hinting at a bold new era where machines innovate and humans interpret." (ScitechDaily, When Machines Dream: AI Designs Strange New Tools to Listen to the Cosmos)

Gravitational waves are a fundamental tool. Suppose researchers want to observe and research things like neutron stars and black holes. The problem is that the black hole's eruption gives information to another wavelength than just gravitational waves. 

Things like gravitational waves can be a new threat to data security in quantum computing. Gravitational waves can shake superpositioned and entangled photons and disturb data transmission in the quantum computer and quantum network. Another phenomenon that can be  

The AI-based systems can make sensor fusion to connect all data from different sensors from radio- and optical telescopes to the gravitational wave detectors. That system fusion allows to creation of new models of how to predict the gravitational waves and things that are connected with it. 

The gravitational waves form in high-energy reactions like neutron stars and black hole collisions. Things like gamma-ray bursts (GRB) X-ray bursts (XRB) and fast radio bursts (FRB) are also connected with the high energy reactions. 

The interesting thing is this: the object sends those bursts when it releases energy. So lonely black hole sends gravity waves when energy injection in the black hole ends. The energy bursts follow each other in the series where the highest energy radiation comes first. Then the energy level in those bursts decreases. 

So, the AI can predict which of those bursts and the gravity waves are connected with each other. In the most exciting vision, the FRB happens just after the gravity wave bursts. And if we someday can predict that energy impulse and its route that allows us to make the system that captures that energy. The FRB can also damage the quantum computers or disturb their operations. So predicting that is very important if we someday make spaceborne quantum computers. 

If researchers can predict the FRB and its route, maybe someday in the future we can use at least the FRB as an energy source. 

The FRB must be trapped by the radio antenna. And then that energy must conduct to the battery. Basically, we have technology that can trap the FRB. But prediction of those radio bursts is not very easy to make. If the system traps about 20% of the radio burst that can solve part of Earth's energy problems. Capturing that thing can happen by using a satellite group that is positioned in the FRB route.  But those are the futuristic visions. 

 https://scitechdaily.com/when-machines-dream-ai-designs-strange-new-tools-to-listen-to-the-cosmos/

New brain implants can restore hearing without side effects.

"A soft, silicone-based brainstem implant from ( Swiss Federal Technology Institute of Lausanne) EPFL shows major promise in restoring hearing for patients with severe nerve damage, outperforming traditional ABIs in comfort and sound precision. Credit: SciTechDaily.com" (ScitechDaily, Beyond Cochlear Implants: A Flexible Brainstem Device Restores Hearing Without Side Effects)

New, flexible, and thin materials make the brain-computer interface, BCI more effective,  flexible, and comfortable than old-fashioned systems. The new systems can restore, hearing or vision for humans who lost those senses. The new and effective BCI systems help to control computers in new and powerful ways. 

Those kinds of new interfaces are connected with other output devices and they can operate along with things like touch screens. Those systems can make it possible to control things like aircraft systems in a very flexible way. The BCI that is connected to computers or mobile devices can give humans access to the net anywhere they want. Those systems can give new types of experiences.

Between the internet, computers, and humans. That system can give new experiences for the enhanced, augmented, and virtual realities. The BCI system can create an experience where a person flows or flies through the metaverse. 

Those BCI systems can remotely control any device in the world. And it makes it possible. Humans can virtually teleport themselves to any city in the world. They can create virtual worlds or make many other things in the virtual entirety called metaverse. The metaverse means the hybrid reality where systems connect virtual and real elements. In the metaverse, people can feel like Superman who flies through the virtual universe. 

The virtual universe can be created from the information that the satellites and space telescopes collect. The system can create things like virtual houses and even cities there are the architects and why not, gamers can walk like being physically in those models. The area and accuracy of the metaverse depend on the computer's power. The BCI can cooperate with other user interfaces. 

The metaverse can turn into a matryoshka reality. In that type of metaverse is possible that the person can be lost in the internal virtual and half-virtual spaces. The metaverse is the platform that allows a user to connect real and virtual elements into the space. There are no limits for the metaverse. 

When we think about those visions the metaverse and BCI are tools that allow the person to connect themselves to the cameras anywhere in the Earth. They can control any device. And the BCI-based metaverse has one problem. There is the possibility that the person will not know what is true and what is virtual reality. In that model, the metaverse is like Matryoshka reality. The system can create multiple internal realities. And it's possible. That person will be lost in that thing. It's possible. That person cannot separate the internal realities from the real world. 

https://www.epfl.ch/en/

https://scitechdaily.com/beyond-cochlear-implants-a-flexible-brainstem-device-restores-hearing-without-side-effects/

The Chinese new humanoid robot is impressive.

"Iron is designed to perform complex tasks in smart factories and retail environments." (Interesting Engineering, Iron: China’s humanoid robot gets supercomputer-like brainpower, eagle-eye vision)

The Chinese new humanoid robot is impressive. It has supercomputer brain power and eagle-eye vision. This kind of robot can operate in many roles at home.  The robot can also operate for companies. And the government. 

The humanoid robots can act as cleaners, painters, and personal assistants. There is the possibility that the observers can use those systems as intelligence and surveillance tools. 

The robot shares its sensory data with supercomputers over the networks. That allows the government or private eye to use that robot to read papers. And listen to discussions or act otherwise as a spy.

(https://interestingengineering.com/innovation/china-humanoid-robot-brainpower-eagle-eye-vision?group=test_b)

We should realize this wisdom. It is more important to think of things that manufacturers or salesmen didn't tell than things that they told. 

If the marketing text says that the robot is suitable for cleaning and other things, we must realize that this thing limits only regular, private users. The government plays in different ways. In China, the government might want to use those systems for espionage and recon missions. 

The fact is this. The humanoid robot can make everything that humans can. The robot can have the microphone in its hands. So it can hear discussions through the wall. The system must put its hand on the wall. Then it can eavesdrop on people on opposite sides. The eagle-eye vision means that the operator can use VR systems with the robot. Those systems make the operator see and hear the same thing. What robot sees and hears. Those robots can act in man

The humanoid robots are excellent tools for work as soldiers and assassination missions. The humanoid robot can have similar target recognition software to the Javelin missile. When the robot sees a target it can activate its shadow protocol. Then it can make the mission. And after that, the robot can clean its memories. 

https://interestingengineering.com/innovation/china-humanoid-robot-brainpower-eagle-eye-vision

The AI requires new hardware. Servers that can run the AI must have a lot of power.

"Scientists have created an ultra-efficient AI accelerator that uses light-based circuits instead of traditional chips—making AI faster, greener, and ready for massive scale. Credit: SciTechDaily.com" (ScitechDaily, Scientists have created an ultra-efficient AI accelerator that uses light-based circuits instead of traditional chips—making AI faster, greener, and ready for massive scale. Credit: SciTechDaily.com)

One solution. That can help to save energy. The system recycles the heat of its microprocessors. 

That heat can expand liquids. That is used in freezers. That expanding liquid rotates the generator's wheel. That helps to save energy on those servers. So, operators must bring less energy from outside. 

Temperature makes those servers ineffective. When the temperature rises too high, it slows the computers. Temperature rises oscillation. That raises resistance. The resistance denies the signal going through. 

Or resistance destroys data in the signal. That causes the system. Must raise power to make a signal travel through 

The resistance that temperature damages data structure. That travels in them. So, the system goes in a circle where. It must raise its power to make the signal go through. 

And finally, those wires melt. 

"A Harvard-led team created the first self-contained, chip-based laser that pulses in the mid-infrared – ideal for advanced gas sensing and imaging. This innovation could power next-gen tools for climate science and healthcare. Credit: SciTechDaily.com" (ScitechDaily, Harvard Builds Laser the Size of a Chip, Bright Enough to Map Invisible Worlds) The Harvard laser chip can also transmit data into photonic systems and out from it. 

So, the answer to the problem is the photonic microchips. The system can use photons to transmit data to silicone. 

That means. The system can use a photovoltaic phenomenon when it hits the silicone layer. 

There, light forms electric impulses by shooting electrons away from their orbitals. The photonic microchips can advance AI. Those microchips are colder than the electric system. Those photonic systems can operate for a longer time with maximum power than regular microchips. The photonic microchips can use lasers. To transmit data to them. There are three versions of the photonic computers. 

1) In the simplest version.

Data travels between components in laser rays. 

The system can use flat lasers to transmit data between those components. 

2) The system. The internal structure of microchips uses photonics in data handling operations. 

But prisms and mirrors that the system uses as routers and switches. And gates are electrically operated. 

3) All photonic computers: there are laser beams that transport information. Also transmits energy to those microchips. In those systems, miniature crystals can also aim information in the right way

The difference between electric and photonic computers is that data travels in a laser beam in photonic computers. That means there is no resistance. That means photonic computers are more effective than electric computers. And those systems can be the next tool to develop physical systems that can run complex AI-based systems. 

https://scitechdaily.com/ai-at-the-speed-of-light-how-silicon-photonics-are-reinventing-hardware/

https://scitechdaily.com/harvard-builds-laser-the-size-of-a-chip-bright-enough-to-map-invisible-worlds/

Large language models (LLM) are impressive. But can the small, compact language model be more effective?

Large language models (LLM) are impressive. But can the small, compact language model be more effective? 

Large language models can search and process any kind of data. That we might need. The thing that makes LLM a little bit complicated. They must analyze the data that they get. And that requires lots of calculation power. That power is not free. The LLM requires an entire group of supercomputers. 

The problem is that those LLMs require the most powerful hardware in the world. Large supercomputers require lots of electricity. 

Those systems use as much electric power as a small city. That means the LLM servers require their own power plants. That's why. Things like miniature nuclear reactors are under research. 

The only realistic way to use LLM is to use them over the net. The private actor doesn't have money for the electric bills that those servers require. And that brings one data vulnerability in the data handling process. When some other actor operates the server, where we share data. That another actor can get access to that data. The ability to bring the language model to its own servers gives the actor full access to the data. That means that the actor who administrates their servers owns and knows everything that the server does. 

The small language models (SLM) can act as multicore AI there each core can operate independently. 

The small language model (SLM) is the answer to that problem. The SLM can be like a droplet that is separated from the LLM. That lightweight language model is the tool that a normal actor can load to the power servers that are used in the CAD program's network use. The SLM is a limited language model used for special purposes. So the LLM can remain in the common use. But in secured use, the SML can be the tool, that is in the future. 

The SLMs can create a new model for the AI core. The SLMs can make it possible to create a multi-core AI system. Those cores can remain on their servers. They can operate independently without affecting other processes. 

The multicore models are tools that can turn the next page for the AI. That system can be more economical and environmentally friendly than the monolithic core. The system can switch unnecessary cores off when the system or users don't need them. 

https://www.wired.com/story/why-researchers-are-turning-to-small-language-models/

The transistor turns into an artificial neuron.

"Brain Computer CPU Illustration"

"National University of Singapore, NUS scientists have made a standard silicon transistor mimic brain functions, paving the way for efficient, scalable AI hardware using existing chip technology." (ScitechDaily, AI Breakthrough: Scientists Transform Everyday Transistor Into an Artificial Neuron)

"NUS researchers have shown that a single transistor can replicate both neural and synaptic behaviors, marking a significant step toward brain-inspired computing." (ScitechDaily, AI Breakthrough: Scientists Transform Everyday Transistor Into an Artificial Neuron)

The transistor transformed into an artificial neuron. And that makes it possible to develop new types of AI where the operating system and software-based technology cooperate better in the AI-based solutions. The ability to transform transistors into neurons is the new step in hardware-based AI solutions. It's possible. That the transistor can have a memory block. If researchers equip a transistor with RAM (Read Access Memory) that thing turns the transistor into an artificial neuron. 

The transistor that controls the robot's reflexes can also have ROM (Read Only Memories) that it cannot overwrite. This thing paves the way for in-memory computing, IMC, and artificial (morphing) neural networks, ANN.

The transistor is like a neuron and axon, there are two positions one and zero. The difference between these types of solutions and the the systems of yesterday is that the transistors can operate as large groups just like neurons. That makes the system more flexible and energy-friendly than the present system. 

The transistor-based neural systems can select the number of transistors. That is required for each operation. That means the system can make many different operands at the same time. Or some of those artificial neurons can rest if the system doesn't need them. One of the great things that makes the human brain so impressive is that they have so many brain cells. 

The thing that makes the neurons so powerful is that they operate always as groups. Theoretically, the neural structure is quite simple to mimic. The problem is that they create those connections in real life. The neuron has only two axons. Input and output axon. However, in normal neurons, there are many axon connections. 

A neuron needs those connections to aim the signals and neurotransmitters in the right routes. Nanotechnology allows to creation of lots of artificial neurons. That thing makes it possible to create new and flexible computers. 

Some of those axons are needed to prepare the other neurons for incoming messages. There are at least 100 billion physical neurons in human brains. Those neurons can reconnect themselves into subgroups. Those neuron groups form virtual neurons that act as the real, or physical neurons. The ability to connect memories that neurons have into multiple new forms. Is because of those virtual neurons. That thing makes it possible to connect memories into new forms and connect new skills and actions to those memories. 

The new nanomachines can operate inside living cells.

"DNA strand displacement circuits are inching closer to becoming cellular machines. Scientists are finding ways to make these programmable nanodevices stable and functional inside living cells. If successful, they could revolutionize how we interface with and control biology at the molecular level. Credit: SciTechDaily.com" (ScitechDaily, DNA Circuits Come Alive: Scientists Build Molecular Robots Inside Living Cells)

DNA circuits can make robots that operate inside human cells. Those nanotechnical miracles can and will revolutionize things like genome therapy and medical treatment. The DNA circuit can revolutionize the nanomachinery because it allows to making of complicated chemical programs that fit into the machine. That is smaller than cells. The DNA circuit can store information in the kinetic form. In that case, the DNA circuit can store energy like a spring. 

Then the oscillation of the released energy is determined. Where the nanomachine which can be like an artificial virus will travel. The nanomachine is not probably like a natural virus. The system can be like a medium between viruses and bacteria. The DNA-controlled nanomachine can be like a cell that cannot create copies of itself. It can be more complicated than natural viruses. It can have components that are not found in natural viruses. The genetically engineered coronavirus can involve antibiotics in its surface proteins. That can destroy targeted bacteria immediately. The "Virus" might be the protein package, covered by the antibiotic proteins. 

It might be a virus with mitochondria and it can be more like some kind of spirochete. The DNA controls the system which includes movement systems. Those things can be the small strings that spin around their axle. That kind of system requires a control circuit that controls the nanomachine. The artificial virus can use the DNA as the controller that helps it to find the right cells. 

The system can use the same models that the "radar bacteria" use when they get information about threats around them. The radar bacteria use chemical radars to locate their enemies. The same thing can installed on artificial nanomachines. 

"By harnessing light and trace molecular leftovers, researchers found a way to steer how molecules twist, left or right, offering new control over nano-scale design. Credit: SciTechDaily.com" (ScitechDaily, Molecules in a Twist: How a Flash of Light Flips Chirality)

"The plant-pathogenic bacterium Pseudomonas syringae (center), detects its amoebal predators with a chemical radar and eliminates them. Credit: Luo Yu/Leibniz-HKI" (ScitechDaily, The Secret “Radar” Bacteria Use To Outsmart Their Enemies) Nanomachine can use the same ability to track the wanted cells. Nanomachine is not a cell or virus. It's a combination of multiple DNA bites. 

Two DNA bites will turn into the archimedean screws that will make the nanomachine move. 

Those systems can replace damaged DNA in the cell. The DNA circuit can store information in its chemical form. The system can turn cells to create some antibiotics. Or it can transform cells into electric or bioluminescence and the computer can read those light flashes or electric impulses. That allows data transmission from the cell to the computer. 

The nanomachine can terminate the cell simply by turning the DNA around. That thing turns the DNA into its mirror-molecule. This causes an effect on the mRNA that this mirror-DNA creates will not fit into its position and that ends the process that the mRNA should control. Nanotechnology is one of the most effective systems in the world. That thing can create even new organisms by connecting the DNA bites into the new entirety. 

The system can transfer any DNA from inside the cell's nucleus. The light can also turn the DNA molecule's chirality. And, that causes an idea that if the system can aim things like high-power liquid impact on a targeted cell. That system can turn the DNA around. The nanomachine requires only the system that pumps the liquid to the right point. That flips the DNA around. 

 https://scitechdaily.com/dna-circuits-come-alive-scientists-build-molecular-robots-inside-living-cells/

https://scitechdaily.com/molecules-in-a-twist-how-a-flash-of-light-flips-chirality/

https://scitechdaily.com/the-secret-radar-bacteria-use-to-outsmart-their-enemies/

AI mimics human memory to make wise decisions.

"A recent study introduces the M2I framework, inspired by human memory, to address limitations in current large AI models such as inefficiency, high energy use, and lack of reasoning. By mimicking brain-like memory mechanisms, the research aims to create machines capable of continual learning, adaptive reasoning, and dynamic information processing." (ScitechDaily, Can AI Think Like Us? New Research Mimics Human Memory for Smarter Machines)

Human memory is like a puzzle. Every single memory unit holds one small part of the information. That the brain stores in it. The thing that makes the memory so flexible is that. There are millions of memory units. That brain can reshape and connect in millions of ways. It is possible to make this kind of memory for computers. Using the memory addresses. In those systems, we can say that memory allocation units behave like pixels in the CCD camera. 

The memory pixels that the AI can reshape and reorder make those systems powerful and flexible. But handling that memory pixel network entirety of the system requires lots of computer power. And advanced operating systems. The memory is more than image. It controls the physical and emotional reactions. When a thing like a robot carries packages the memory stores information on how it picks the merchandise up. 

A robot's memory orders it to move its limbs and react to things that the robot faces. When a robot sees something it searches match from its memory. If there is a match with even and description that description activates the action. 

Memory addresses can act like memory units or memory cells in human brains. Then, those memory addresses can make multiple connections of themselves. They can make millions of forms of the memories that the computers have. This kind of memory is like a CCD chip in the digital camera. The difference between the computer memory and the CCD chip is that the CCD chip turns the image into electric impulses. 

But, this network-based memory handles data stored in the system. The system's accuracy and flexibility depend on the memory unit or memory address's size and number of those addresses. The large number of small memory addresses or memory allocation units can create a more accurate and flexible memory entirety than the small number of large allocation units. 

When the system reshapes the image or puts those memory storages into a new order the small number of large memory allocation units makes the new memory image unsharp. The data that a large memory allocation unit stores is in fixed form. The problem with those data structures is the same as when we use a small number of large pixels in the CCD camera. 

That makes images unclear. The large number of small pixels makes those images clear. The same way the memory pixels act in the computer memory. AI thinks similar way as humans. It collects a group of data pixels and then reshapes them into a new form. 

https://scitechdaily.com/can-ai-think-like-us-new-research-mimics-human-memory-for-smarter-machines/

Stanford researchers created the digital twin of human brains.

"Stanford researchers used AI to create a “digital twin” of a mouse’s visual cortex that can predict brain activity in response to new visual stimuli. These digital models could revolutionize neuroscience by allowing unlimited, efficient virtual experiments and revealing how the brain organizes information." (Stanford Scientists Create “Digital Twin” of the Brain Using AI)

AI is a tool that can do almost anything. The AI can be used to make a digital twin of things like neutron stars and human brains. The digital twins are also used to find out weaknesses of things like F-35 jet fighters. In those cases, digital twins can also make holograms that the researchers can use to simulate things like wave movement behavior on the aircraft's body. The system can use two different digital models the radar and aircraft. 

The system can transport virtual radar transmitters over the virtual layers. That makes it possible for the system to calculate the ideal angles of the shell. 

The system can also calculate the ideal approaching angles to the aircraft. The hologram can demonstrate things like paintings and positions where that aircraft can be when it's not in operation. 

But digital twins of human brains are things that can make revolution for research that handles intelligence. The size of those databases is enormous. The system can also have multiple independent operating levels. That system can include simulations of the neurons. Neuron's digital twins can simulate human brains with a very high accuracy. And if someday the computers are effective enough, that system can make the hybrid, multicore digital twin of the human brain. 

The system requires 100 billion cores that simulate individual neurons in the human brain. And their ability to create virtual neurons or internal, independently operating neuron groups that can form more neuron entireties. For making digital twins the AI requires as much information as possible. Advanced X-ray systems and scanners might make it possible to create the digital twin of the entire human body. 

There is the possibility of making digital twins of planets, or some chemical environment. 

Or if we have enough computer capacity we can make digital twins of the entire universe. The requirement for computers is so high. 

This kind of thing requires that computers advance. But the accuracy determines the need for computer power. We can make inaccurate models of the gas flows into the static objects. 

The ability to make the digital twin of the chemical laboratory environment saves money. The system can simulate chemical reactions with a very high accuracy. This eliminates the need for physical stuff. 

https://scitechdaily.com/stanford-scientists-create-digital-twin-of-the-brain-using-ai/

The new robot can operate in the human body.

"These tiny robots use magnetism to move and explore tight spaces, potentially including disaster rubble or the human body. Credit: Jennifer M. McCann/Penn State" (ScitechDaily, "

This new robot is like straight from the Sci-Fi movie. Its purpose is to swim inside the body. And that robot can deliver medicine precisely into the wanted position. That kind of technology is a groundbreaking system. It can do many things that regular surgeons cannot do. The system can inject things like DNA bites that order tumors to die into the targeted cancer cells. The nanorobot can also give gene therapy. 

It can transport the wanted genome into the right cell groups. Or the system can carry stem cells to the right points. That thing can make it possible to give a treatment for damaged tissues. That doesn't revert well. . Stem cell therapy can help to fix brain damage. But those stem cells must be put into the right points. And that new miniature submarine can make that dream true. This submarine has many applications where it can operate. 

Another thing that this robot can do is to close blood vessels that transport blood into the tumor. This kind of system can also inject things like thin kevlar fibers into the cells that doctors want to destroy. That makes it possible to use the new types of medicals. The robot that can travel in the body and take even photographs of objects can search for things like tumors and blocks in blood vessels. Those nano-submarines can also transport tissues to fix damages into the blood vessels. 

The robot that swims in the blood and searches for non-wanted things are tools that humans never had before. Those systems are the next-generation tools. Whose purpose is to deliver medicines to the right points. These kinds of tools are also very dangerous in the wrong hands. This type of nanotechnology is the so-called perfect assassination weapon. That means the military might want to use those submarines as roles that belonged to bullets. 

 https://scitechdaily.com/not-science-fiction-this-tiny-robot-crawls-through-your-body-to-deliver-medicine/

Drone swarms will manufacture airplanes and even Mars bases.

"Visualization of a future-state aerospace manufacturing facility powered by swarm robotics." (IE, US to unleash robot swarms to build smart aircraft with speed, precision, safety)

When we think about robots we must realize that robots are not like any animal. The crab-looking manufacturing robots can also have a quadcopter. A system that helps to carry them to points where they cannot climb. Those robots can carry items that 3D printers make or they can be 3D printers. The robot swarm can also look like a humanoid robots. That can turn any factory into automatic. 

The drone swarms will manufacture aircraft and quite many other things. The drone that makes the 3D structures is like a spider or crab. The system can also involve quadcopters equipped with systems that can create high-temperature welding work. The quadcopters and other drones are more flexible than the regular welding systems. And that makes them suitable for many types of building works. One place where that kind of system is suitable is the planet Mars. 

The system can involve the unit where the system melts and separates iron from Martian stones. That can happen using microwave-based centrifugal separation. The system can make iron wire that those drones can use to make metal structures like greenhouse domes for the Red Planet. The system requires carbon which is necessary for steel structures. 

Those quadcopters can make many things on Mars and those systems that can make 3D structures under the AI control are tools that can also fix the holes on the spacecraft body. Those systems can also operate in underwater areas, and they can also make it possible to fix and build structures for submarines. The drone swarms can also fix things like undersea oil tubes and gas tubes. 

But the most interesting thing is the robot-manufacturing system that turns texts into robots. The AI copilot handles the principles of robotics. Those systems can follow spoken words or written text, and make any kind of robot that the user (customer) wants. This kind of system is the tool that makes it possible to transform the AI 's-generative tools into a new form. Modern co-pilots like Chat-GPT, Gemini, and Microsoft copilot can make images from texts. But the new system turns those images into real merchandise. 

That means those systems that can turn the texts into robots can be connected to the drone-swarm manufacturers. The system can make a robot or even a house or ship using virtual reality. The system creates a CAD image that it transforms into a photorealistic image. The system can get things like the size of the thing that drones should make. Then it fits that thing like a house to the landscape image. 

In the final stage, the system can use holograms to make sure that the house or any other thing fits into that point. The system can use a virtual dome like the group of quadcopters to locate other drones in their positions. The drone swarms can also use the internal location system where those drones locate each other. That system makes it possible to control those drones with a very high accuracy. 

https://interestingengineering.com/innovation/robots-from-text-using-ai?group=test_a

https://interestingengineering.com/innovation/robot-swarms-to-build-smart-aircraft?group=test_a

The AI can be the next-generation profiler.

"Scottish researchers have developed a sophisticated computer system to model the actions of simulated people lost in outdoor environments."

"Illustration by Cortland Johnson | Pacific Northwest National Laboratory" (InterestingEngineering)

The intelligent AI tries to think like a missing person. And helps rescue crews to locate that person. The AI uses data that it collects from social media and interviews with family members. And that person's other social network. The fact is that if a person misses voluntary things depending on the other social networks. That other social network might know things like some indefinite friends. That nobody wants to tell at home. 

So, the interesting thing is what that missing person didn't tell to that person's family. The AI requires the right and confirmed information to make the profile that helps to find the missing person. And AI, like humans, need all information, not just selected parts. 

The AI can also profile any person in the world. A similar software that can help rescue crews and law enforcement to track missing people can make profiles about people like statesmen and leaders of the state. 

Those things help to find out and predict what is those people's next move. The other thing is that this software can help find dangerous people like serial killers, terrorists, and other criminals in society. The AI can see similarities in the writing styles between two people. And it can connect those people together. Even if a person uses fake profiles. The dataset that the AI can use determines its accuracy. 

The similarities in social networks and ways to use things like social media are things that help to sort people into certain groups. And some of those groups are not things that we don't want to see in our neighborhood. AI is the tool that can bring things that we just don't want to see to the front of our noses. When we think about things like work interviews the AI can search the answers. Then it can find out, does the skills that person has match with requirements. Listed in the job ad. 

The AI can also see if there is some kind of suspicion that the CV and proposals are not the person's own. There is also one suspicious thing that recruiters sometimes miss. That thing is that the person looks like made to measure to the company. The person might have the matching CV accidentally. But in that kind of case is possible that the person acts as an industrial spy. The AI can collect all data that a person puts in public sources and then search for the danger. 

https://interestingengineering.com/innovation/ai-model-predicts-lost-person-location?group=test_a