Basics of thermodynamic processors.

Thermodynamic binary computers use two states: one and zero (1,0). 

Like a regular computer. The biggest differences. Between regular and thermodynamic computers. It is Thermodynamic computers. They use natural electromagnetic noise for computing. Those systems. They could bring quantum computers to our desks. 

Thermodynamic computer model. It could be two windmills. Those two windmills are one and two in the binary system. While the windmill. One spins. It sends one. And when windmill two spins, it sends zero. We could try. To break those windmills when we want to send one or zero. We could pull them down. If. We want to use another windmill to send another number. One or zero.  And those things require energy. 

In this case. We want to control the transmitter. But if we want to control the data flow. Everything becomes easier. We could use a switch that connects and disconnects those windmills. If. The system sends one. We separate the zero windmill from the line. And when the system sends one, we separate the line that sends zero from the main line. 

Thermodynamic computers could be the next step for computing. Traditional computers try to eliminate electromagnetic noise. Thermodynamic computers. They benefit from the natural electromagnetic noise. 

In this case. The computer uses electromagnetic noise as a signal carrier. The system acts similarly. Like a person yells into a tailwind. The natural wave carries information. The only problem is how to make the binary system separate one and zero. 

This decreases the energy use of that system. The natural electromagnetic wave acts as a carrier wave. That wave acts as a carrier that transports information. But this is only one of the models of thermodynamic computers. Another version is to create a photonic computer that uses natural light. The model is like this. The electromagnetic radiation is like wind. 

The light travels in a tube. And the brightness determines how the photovoltaic cells and their computers read that signal. Dimmer light means zero, and brighter means one.  The lightweight version is that those systems use a dimmer. There, the system dims the light route by using a dimmer. When it needs to transmit zero. The dimmer is turned off. The system transmits one.  

There is a possibility. To transform those routes into energy flows by using two flaps. Infrared. Or visible light travels in the channel. The system closes the route when it must send one. Which. Means zero. And when the system sends zero. It closes the route that sends one. This wild vision could also work by using natural light and two tubes. There. The system can close the route from a number that is not sent. 

Another model is like a mechanical computer that uses water flow. There are two layers; the system conducts water. The first layer is one, and the second layer is zero. A mark itself. It can require brackets. That tells when the next mark begins. This is important for cases. There, the system must send two zeros or two ones in a row. Those brackets. They are not important for the paper. But in digital transmission, the system must know. If. There are two zeros in a row. 

There are multiple versions of that mechanical water computer. The system can use two routes. Route one. It is one, and route 2 is zero. When the first layer moves, it can write a line on the paper. And the second one writes a point. This helps to detect which mark is one. And which is zero. This is a model. We could replace that paper with laser beams. Or we can replace those channels by using different information carriers. 

The third thing that the system must know is this. When. the system is shutting down. The system must get a warning. The answer could be the digital button. That button activates the program. That activates the switch-off routine.  

https://www.quantamagazine.org/thermodynamic-computers-go-with-the-energy-flow-20260715/

Cyber warfare is a new dimension in warfare.

Above: Su-57. 

Did Ukrainian cyber warriors cause the crash of the Su-57? 

Russian stealth interceptor, the Su-57, crashed near Moscow. There is suspicion that a Ukrainian cyber attack caused the destruction. In some rumors, the Ukrainian “keyboard killers” programmed some of the AA systems to shoot down the Su-57. There were no missile launches in Moscow at that time. This means that some hijacked gun systems are targeting that aircraft. One possibility is that some hijacked anti-drone systems attacked that fighter. But when we think about the possible points. There, the cyber attacks can be targeted. We might see many possibilities. The next four possibilities. They are the first. That came to my mind. 

1) Some automatic gun systems shot that aircraft down. 

2) Because the IFF is switched off. 

3) Or the IFF database was erased from fire control computers. That makes the system treat all targets as enemy. 

4) The “keyboard killers” switch off the HOTAS and FBW (fly-by-wire) control. Or format the flight control computers. 

There are many automated systems. And if the cyber attacker can hijack those systems. The result can be devastating. If. The hacker switches the fuel that is meant for the aircraft to regular gasoline. That can cause destruction. This means that the hackers. They can cause very large-scale destruction. 

Cyberwarfare is the next dimension in warfare. Those attacks can cause large-scale damage at a minimum cost. The operator can shut down radars and communication tools in a critical moment. Or a cyber spy can search for critical information about enemy plans. Here we must realize. That cyber warriors are part of the military. They operate along with other intelligence, reconnaissance, and attack teams. Even if. We say. That things like missile control systems are safe. Those targets are still “worth a try”. If the missile fire control and flight control database is erased. That can make the aircraft and all other targets vulnerable. 

Sting interceptor (Wikipedia) 

Worst-case scenario. Hackers can theoretically jam nuclear weapons. 

There is also little possibility. Some hackers can deny the launch of nuclear missiles. By changing those launch codes in certain databases. That makes. The real launch codes. Unable to work. But in the worst-case scenario. The hacker has access to the database. And fire control. 

That makes it possible to make even.  An unauthorized launch. The latter happens by switching the information in the computers that host those databases. If. A hacker can switch those codes. That gives the possibility for an unauthorized use of fire control systems. The hacker can switch code in the database. And then input it into the fire control. Or the hacker can switch the transmitter frequency. That denies the launch of the missiles. 

And then the anti-drone drone hired in the Moscow region. It could also destroy the patrolling Su-57. 

But there are many other ways to destroy those jet fighters. One of them is the anti-drone system. It waits for the target near the airfield. The small-sized drone has a speed of about 300 km/h. It can wait anywhere. When. The operator or AI sees the slowly flying jet fighter. The drone can attack that target. The high-tech stealth fighter is vulnerable to shell damage. And if the aircraft searches for drones. This kind of drone. It can hide anywhere. 

The controller needs only an internet connection to control the remote control station. Those small drones are dangerous because they can hide almost anywhere. They can fly near airfields. And sit there. Those small drones can also be equipped with HEAT or side mine-type warheads. The latter sends a melted metal beam to the target. That metal beam is dangerous even for main battle tanks. There are also hybrid HEAT warheads. These send metal balls in their hypersonic jet to the target. This boosts the warhead power. 

https://en.defence-ua.com/news/how_ukrainian_cyber_operation_may_have_led_to_downing_of_russian_su_57_near_moscow-19248.html

https://english.nv.ua/nation/su-57-crashes-in-moscow-oblast-media-report-possible-cause-of-crash-50626803.html

https://www.msn.com/en-us/news/world/pro-ukraine-group-claims-it-helped-hack-russian-drone-air-defence-system-shooting-down-su-57/ar-AA28F2Or?ocid=BingNewsSerp

https://en.wikipedia.org/wiki/Fly-by-wire

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

https://en.wikipedia.org/wiki/Sting_(drone)

The new 3D structure can be a breakthrough in thermal control and stealth technology.

The new 3D material can act as a thermal cloak. For high-thermal materials. Those materials can transfer heat into that new material. Then that thing can transfer thermal energy into structures. That transports it away. This thing can control temperatures in high-temperature materials, such as those used in hypersonic flight. The material can dump its energy into that new structure. So, it can open a path to higher speed. That new material can also act as a fire shield for the structures. And that makes it possible to create the systems. That can resist higher temperatures than before. But that material. It can be even more fundamental than researchers even thought.  

The energy cloak. It can transfer heat energy from laser beams and other directed energy weapons. 

Into the wanted direction. This makes it possible to use materials that absorb more thermal energy than other materials. The “absolute black” materials have one problem. They must dump their heat energy somewhere. The absolute black materials with minimum reflection could deny the use of laser pointers to point rockets at stealth structures. The absolute black material that absorbs all light has a problem. Without. An energy cloak. That material will melt. And a new 3D energy cloak. It can be an answer for that problem. 

In stealth technology, this material. It can be the new fundamental advance. When. We think about RAM (Radiation-Absorbent Material). Those highly advanced materials transform radio waves into thermal energy. And if that thermal energy. It can be sucked away. That system can make stealth technology more effective. The problem with RAM materials. It is this. Those materials. They will take heat from radio waves. Sooner or later, that can turn dangerous. If an aircraft travels near its material’s heat limit. 

The small boost in temperature. It can turn dangerous. The material can turn too weak. Or. It can start to turn the aircraft. Into. The object. That is an easy target for the IR-seeking missiles. Aircraft like the B-2 and B-24 Raider. Their form makes radio waves slide over the structure. Those aircraft have a structure that divides the radiation. The problem is that. Those structures are very vulnerable. If something hits them. And. Changes their shape. 

“U. of I. engineers introduce a 3D-printed, hybrid aluminum-and-rubber cloaking device that blocks an object’s thermal signature by guiding heat around it, rendering it invisible to infrared cameras. Credit: Shelly Zhang/MISSION LAB” (ScitechDaily, Scientists Build the First 3D Cloak That Makes Objects Invisible To Heat)

So, if a B-2 is detected. By an enemy fighter. That fighter. It can try to attack the B-2 by using cannons or laser-guided rockets. Those rockets. They can at least damage the stealth shell. By. Using a combination of the RAM materials and the shape of the plane. The plane will become more stealthy. There is a small vulnerability in the aircraft. It uses only the shape-based systems. The problem is the scattering effect. The radar satellite searches for stealth aircraft. It can see the scattering from above against the ground. The RAM material turns the aircraft into a shadow that travels over the ground. The radar can see the aircraft as a point. There is no reflection from the ground. But the scattering effect is more dangerous. 

Some non-stealth aircraft can find stealth aircraft. Using AI-controlled camera systems. That system uses IR, UV, and visible light. The Su-35 could find the B-2 and use laser-guided rockets and cannons to destroy its stealth structures. Another system. It could use an AI-based image recognition system. 

If. The enemy has an image of that aircraft. That kind of system. They can detect the target and shoot it down. The system could use similar algorithms. That are used in GSM image recognition.

That means the stealth bomber is invisible. Only. If its stealth structures are not damaged. The combination of the RAM materials and stealth shape. can decrease the ability to detect those aircraft. But as I wrote earlier. The new thermal cloak could protect aircraft and satellites against things like laser weapons. The energy cloak transfers the thermal energy from the structures. And that makes the stealth aircraft less vulnerable to laser beams. 

https://scitechdaily.com/scientists-build-the-first-3d-cloak-that-makes-objects-invisible-to-heat/

https://en.wikipedia.org/wiki/Radiation-absorbent_material

New micro-drones can revolutionize everything.

“Chen’s group has been building robotic insects for more than five years. Credit: Courtesy of the Soft and Micro Robotics Laboratory.” (ScitechDaily, MIT’s Tiny Flying Robot Just Learned To Move Like a Real Insect)

New MIT microdrones move like insects. They are about the size of a sugar bite. And as large as larger drones. Those systems can form a neural network.  This means those drones can act as swarms. The hivemind technology allows them to create independently operating drone swarms. Those drones. They can use laser-LEDs to communicate. And that kind of optical communication. It’s the tool that allows them to deny the ECM systems. 

The operator can use LiDAR-based technology to transmit information into the drone swarm. Those small insect-drones. They can search for people in rescue missions.  They can also assist SWAT and special forces teams. And people like military intelligence. They can use those drones in their own missions. Those drones can act as eavesdropping tools. But intelligent technology makes them very hard to detect.  The miniature drone can observe network communication. 

The problem with this kind of system is simple. The drone can transmit data to a relay drone by using laser beams. That means the drone is invisible to radio-wave detectors. 

“A time-lapse photo shows a flying microrobot performing a flip. Credit: Courtesy of the Soft and Micro Robotics Laboratory” (ScitechDaily, MIT’s Tiny Flying Robot Just Learned To Move Like a Real Insect)

“Now, with our bio-inspired control framework, the flight performance of our robot is comparable to insects in terms of speed, acceleration, and the pitching angle,” says Kevin Chen. Credit: Courtesy of the Soft and Micro Robotics Laboratory. “(ScitechDaily, MIT’s Tiny Flying Robot Just Learned To Move Like a Real Insect)

The Ingenuity Mars-helicopter

There are two films. The film below. It’s 11 years old. That means that those systems already exist. The upper film introduces hor recon and attack drones. They can wait in boxes. And when they see a target or suspected target. They can react immediately. 

If the system. It uses UV lasers to communicate. That system is also invisible to IR detectors. The system. That is used in that kind of operation. It can see everything. That happens on the screens. 

The main problem with intelligent eavesdropping and surveillance tools is that. The reconnaissance plane or some other system. It can activate the transmitter by using radio signals. So, normally those systems just record information. When they are outside. The system gets a signal to send a so-called data burst. This means that. If those systems are hidden in somebody’s briefcase or clothes. 

The detectors and Faraday cages are helpless against those systems. When a person is in a secure space. The system just records data. But when a person steps out of the building. The surveillance operator can give an order to send data. 

A small-sized drone. It can also mark positions for smart bombs. Those drones can use an advanced power supply. Bigger drones. They can act as loading stations for those small drones. They can use wireless battery charging. Developed for mobile telephones. They can also use the same batteries that were developed for pacemakers. And those kinds of drones. They can fly at very high altitudes. So we can think of the cigarette-box-sized drone that uses the same technology as the Ingenuity helicopter. That operated. In Mars’s atmosphere. 

Microdrones can operate. Along with bigger drones. The combat drones. They can form similar teams. To Ingenuity and Curiosity. The bigger drones and rovers. They can be the ultimate team. Microdrones can also  act as advanced elimination systems. The drone can carry stun grenades or some deadly detonators. The system. It can cut wires and damage surveillance cameras.  They can also cause critical damage to electronic systems. And mark the enemy positions. But those systems are the ultimate elimination systems. 

Microdrones. They can slip into houses and then search their targets. The  microdrone can use its ammunition to eliminate targets. They can be delivered from helicopters, aircraft, and even from satellites and ballistic missiles. The AI-based systems enable them to find targets with pinpoint accuracy. If those systems. They have an image of the target. They can land in the area. And when they detect their target. Those drones activate their attack mode. 

https://scitechdaily.com/mits-tiny-flying-robot-just-learned-to-move-like-a-real-insect/

https://scitechupdates.com/nasas-ingenuity-helicopter-dropped-on-mars-surface-ahead-of-flight/

https://en.wikipedia.org/wiki/Ingenuity_(helicopter)

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

Can AI reach human intelligence?

“A leading computer scientist says AI may never reach human-level intelligence because it cannot acquire the tacit knowledge that underlies common sense, intuition, and culture. He argues that this limitation could make advanced AI both fundamentally different from humans and difficult to align with human goals. Credit: Shutterstock (ScitechDaily, Why AI May Never Reach Human Intelligence)

“A new analysis argues that AI may never truly think like humans because the most important parts of human intelligence cannot be programmed into machines.” (ScitechDaily, Why AI May Never Reach Human Intelligence)

The biggest difference between AI and human intelligence is this. AI simply collects and connects information. Human intelligence is deeper. There are more connections with data than AI. Human intelligence. It is connected with culture, intuition, and social behavior. 

Can AI reach human intelligence? That is a good question. The second big, and maybe interesting, question is this: do we want a computer that is as intelligent as we are? But before we start thinking about AI. And its intelligence level. We must understand that there are no humans. Who can do everything. Every single person has limits. And even if we are the greatest mathematicians or engineers. We might not be the best chefs in the world. This means that it might be impossible. To create AI that makes everything. We have different professions and different work. When we want to build a house. We call the construction worker.

And then we need an electrician and a plumber. Those three people could theoretically make a house. But here we see that in those everyday projects. We need three different people. So here is the thing. That we must realize. What one individual person can do is more limited than the skills of the entire human race. We can create AI that does everything.  

That humans can as a species. But that kind of AGI (Artificial General Intelligence) requires that the entire human population will be put in singularity with the AI. The AGI is the system. There is the central AI. That central AI shares missions with AI agents. And each AI agent is a tool that has specific functions. This makes it possible to create modular AI that can connect. New skills. Into it. This thing. Is the main element of the AI. 

When we think of thinking. That means the ability to connect data from different sources. We can say that the AI. It's like a savant. It can have a very good knowledge of things in a thin sector. In a thin sector. AI can beat humans. But other things, outside that real thin focus. They are far below average. This means that in certain areas. The AI. It can be better than humans. But those skills are more limited than humans'. The AI's ability to process. Preprocessed and sorted data is incredible. But otherwise, AI has its limits. 

But then we must ask one thing. Do we require too much from the AI? AI is not like a human. It has imagination. That is based on data. It can get and connect data. The simulation is based on natural laws. And data that is stored in the AI's memory. So, AI cannot imagine things like Superman. Who flies faster than light. Humans don’t fly. Except if they have an airplane. But the AI’s imagination is more limited than human imagination. So the AI cannot think abstractly. It can simulate things. But it cannot create abstraction. All AI’s imagination. It happens by connecting data from databases. 

The worst case is ot system. That makes errors. The worst case is the system. That believes that it's right. Even if the answer is wrong. The ability to operate without errors doesn’t make anything intelligent. Intelligence is how the system detects and fixes its mistakes. Same way. As a professional electrician. Is not a person who doesn’t make mistakes. The professional detects and fixes mistakes faster than a non-professional. 

The big thing is that. AI can connect information from different sources. But AI doesn’t think. This makes AI a problematic thing. If some hacker breaks into the AI’s database. And puts the data that Superman is real into that database. The AI thinks that Superman is real. The AI can double-check all data that is loaded into it during the training period. That happens by using two or three sources. Or, simply by asking the trainer. But when data is checked. And it's in a trusted database. That. Can mean. That the system will not make a new check. And that makes it possible that the data that the system uses is corrupted. Same way. If the trainer makes a wrong decision. That can turn fact into fiction. And fiction into fact. 

So. Is AI smarter than we are? The fact is this. AI can be a better chess player. Than humans. The AI can mimic humans. It can give impressive answers. But the fact is this. All those answers that AI gives. They are formed when the AI connects information. The difference between AI and human brains is that every neuron is like a miniature brain. When AI drives information through the system. There is no need to analyze data that travels in the AI. In natural brains. The brain can analyze data. It can make that analysis. When information. It travels between neurons. That makes error detection easier. 

When data travels through a computer. The system. It makes error detection easier. But only. When the information travels through the entire system. Then the error detector. Makes all calculations backward. So, it drives information in the opposite direction. If the value after that process. Is the same. As  the starting value. The calculation should be right. If. human brains make that thing. Every process in the brain takes a very long time. But. Because brains can make. error detection before the end of the process. And without stopping the main cycle. That can make them more effective. 

https://scitechdaily.com/why-ai-may-never-reach-human-intelligence/

Could fast-spinning aerial vehicles be behind some UAP cases?

“The Phantom Twist drone’s unique rotation renders it almost invisible when in flight (Image Credit: Northwestern University).” (The Brief)

Phantom Twist drone turns invisible. Because it spins 25 times per second. That is too rapid for the human eye. That ultra-fast spin makes its structure “invisible” to the naked eye. This type. Of quite low-cost visual stealth systems. It can make those drones very effective. And that raises a very interesting idea. The image is the AI vision of the next text. The rotor could be larger. But you might understand the idea. 

Could that kind of structure be the thing? That is behind the UFOs or some UAPs. The idea is that there could be a bi-layer rotor. And the middle of that rotor could be the chamber. That is mounted to the frame between those layers. That chamber. It has a bearing connection. That allows it to stay stable. Even if that wing rotates. 

Futuristic vision of the rotating virtual saucer. That spins very fast. (Gemini AI)

When that system travels slowly. Or. It hovers above the ground. Those wings rotate very fast. When that system must travel fast. It stops its spin. And then ignites the jet engines on the other side of the craft. The craft can have similar wings. To aircraft. So that it can turn. As in the case of a cruise missile. The system could look like a saucer when the wing rotates. But the thing is that this image. It is only an AI-made image. It is based on my own imagination.  And created by Gemini.

The mysterious UAP located over Pantex plant. (Interesting Engineering)

The thing is that. The UAPs are new things for the news. There has been a star-shaped UAP above a top-secret nuclear base in Texas. Those UAPs can be some kind of security tests. But they are interesting anyway. And I think that this kind of system could be a test for some exotic-looking aerial vehicles. Maybe some of those UAPs are holograms. The purpose is to make people look at them. That thing could uncover some classified aircraft. The star-shaped structure. It can be. Some kind of stealth helicopter or drone. 

“Jellyfish UAP” might be some kind of rescue drone. The mission of that drone. It could be a tool that can also capture targeted persons. 

There are reports. That  small-sized saucer-shaped object. Traveling along the aircraft, like an F/A-18. Could those saucers be some kind of stealth cruise missiles? The downed F-15 pilot told stories about the mysterious “jellyfish” UAP. That UAP could be a drone whose purpose is to pick up the downed pilot into the chamber. And then fly to the hovering VTOL aircraft. The structure of that system. It can be similar to the Ukrainian drone. That used to shoot down Shahed drones. But that jellyfish drone can have manipulators to pick up the pilot inside it. 

Or maybe they are used for some kind of tests for psychological warfare systems. If the sound waves and the flashing holograms can activate the sleeping centers in human brains. That thing. It can be the new type of intelligent weapon system. But as we know, the UAPs are real. Maybe their purpose is simply to make people look away from something that is not meant for the public eye. And those things require a new type of research. If those systems are holograms and decoys. Researchers might want to collect feedback from those observations. 

https://interestingengineering.com/culture/pentagon-ufo-files-texas-nuclear-plant

https://www.msn.com/en-us/news/technology/what-is-a-jellyfish-drone-swarm-and-why-are-they-considered-so-dangerous/ar-AA27KRUK?ocid=BingNewsSerp

https://thedebrief.org/can-you-see-it-this-stealth-drone-deploys-a-human-perception-hack-to-become-nearly-invisible-to-the-eye/

https://www.twz.com/air/what-was-the-jellyfish-like-drone-swarm-the-downed-f-15e-pilot-reportedly-saw-over-iran

AI might think differently than humans.

“York University researchers have uncovered a surprising mismatch between how artificial neural networks and primate brains process visual information. Credit: Shutterstock.” (ScitechDaily, Scientists Discover AI Models May Not Think Like the Brain After All)

AI might not think like a human at all. When researchers try to make computers think like brains. Those people sometimes forget why human brains are so different. Thinking in human brains is more closely connected to physical structures such as neurons and neurotransmitters. Than we even think about. 

This is the big difference between computers and human brains. The structure of the human brain plays a bigger role in the thinking process. Than we thought. The computer that runs billions of databases. It can have a very impressive capacity to connect information. But the problem is that. One binary processor. It can run one operation at a time. The system requires new processors. 

That processor. It can run. Multiple tasks at the same time. This is not possible for the regular processor. But the processor. That mimics the brain. It can use all its layers as independent processors. 

 The brain has four main areas. 

1) Cerebral cortex 

2) Cerebellum

3) Brainstem 

4 Cerebral hemispheres. The last one has two parts. 

The fact is that if we create a microprocessor that mimics the human brain. We need a five-layer microprocessor. Each of those layers can use a different programming language. That denies the data mix in the system. If every layer of the processor uses different languages, that makes data meant for other layers seem white noise.

Each layer mimics each part of the brain. And those layers. They can have different programming languages. Or different frequencies. That helps them to separate and sort information. The four-layer microchip. It can have one divided layer. That mimics the cerebral hemispheres. 

From different sources. The database connections. They can mimic neural networks. That transfer information in human brains. The difference between database structures and human brains is this. Databases run on the same monolithic computer. In human brains. Every single neuron is like an independent computer. This means that if we want to make a computer. 

Or. We can rather say: an AI solution. We must create a system. That involves 86 billon computers. The system. It can use morphing neural networks to make its operations more effective. 

“Schematic of a simple feedforward artificial neural network.” (Wikipedia, Neural network)

The thing that can make the process quite easy is that. Every neuron has. The ability to change its connections and their relations. This means we cannot measure the neuron’s ability to process information in the same way. As we measure a computer’s ability to process information. Human brains store information in the form. 

That is similar to a mosaic. The information. It is stored. In a form that is like pixels. Brains can connect and reshape those pixels freely. And that ultimate flexibility makes human brains so different from machines. In brains, every neuron has a pair. A mirror neuron. The neuron and its mirror. They act like loops or algorithms. Another purpose for mirror neurons. That is. They tell the primary neuron that the information traveled through. 

In human brains.  Multiple points of start. Data processing. At the same time. Brains can spread the operation. They could reserve more neurons for that action. This means that brains concentrate. In another way. Than computers. In brains, in brains. Every neuron acts as an independent computer. And the large number of neurons gives fine-tuning for processes in the brain. 

Computers can also connect data. But that system is far different from humans. In computers. The binary system. It can handle only one task per operation. The AI. That mimics human brains. Must have 86 million physical processors to mimic human processes. The ability to search data and then combine that data with memory. Is the thing that we call thinking. 

We could make a machine. That mimics human reactions. That machine requires a physical platform. That involves the same structure. As human brains. The fact is that. If we want to make a machine. That thinks like humans. We must remember that the system. It is a combination of hardware and software. 

https://scitechdaily.com/scientists-discover-ai-models-may-not-think-like-the-brain-after-all/

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