The new observations and observation tools are revolutionizing nanotechnology and the way of thinking in physics.

ScitechDaily.com

"A new study has overturned a fundamental principle of physics by demonstrating that similarly charged particles can attract each other in a solution, with the effect varying between positive and negative charges depending on the solvent. This discovery has significant implications for various scientific processes, including self-assembly and crystallization". (ScitechDaily, Opposites Attract, Likes Repel? Scientists Overturn Fundamental Principle of Physics)

The research reveals the importance of solvent structure at the interface in determining interparticle interactions, challenging long-held beliefs and indicating a need for a re-evaluation of our understanding of electromagnetic forces. Credit: Zhang Kang". (ScitechDaily, Opposites Attract, Likes Repel? Scientists Overturn Fundamental Principle of Physics)

New observations about magnetic fields. And same polar particle or object interaction revolutionized the knowledge of magnetism. They say. The system can put particles that have the same polarity. Into the same entirety. The reason for that is that all particles have polarity. The other pole is very weak in some particles. The main magnetic field is in the axle of the particle. 

Or there are stronger points in magnetic fields around all particles and objects. If the stronger point is against a weaker point, the weaker point pulls a stronger magnetic object into it. This thing causes a revolution in physics. But that also makes it possible to create new types of nanomachines and nanostructures. 

New types of systems can determine the certain position of atoms in 3D structures. That thing revolutionizes material research. That thing allows to create the box-shaped graphene structures that don't miss the property of 2d structures. The idea is, that. The system creates the box-shaped graphene by connecting graphene layers. And that makes it possible to create graphene bricks that connect the properties of 2D and 3D structures into new entireties. 

The new measurement tool called quantum gas microscope can solve the problem of how to determine the position of a single atom in a complicated 3D structure, even if those atoms are in lines. The system uses gas or atom cloud that it stresses with energy. Those atoms send radiation that impacts the structure from all directions. The scanning quantum microscope can use protons or electrons that orbit the object. Then that system sends radiation to those particles, and then they send energy that the sensor can capture. All atoms in the path of that radiation cause scattering that uncovers its position. 

"Researchers have devised a method to accurately measure an atom’s three-dimensional position with a single image, revolutionizing quantum mechanics experiments and material development by facilitating precise atom manipulation and tracking." (ScitechDaily, Ingenious New Method Measures the 3D Position of Individual Atoms)

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The next part is from ScitechDaily.com

The Challenge of Measuring the Third Dimension

"Anyone who has used a microscope in a biology class to study a plant cell will probably be able to recall a similar situation. It is easy to tell that a certain chloroplast is located above and to the right of the nucleus. But are both of them located on the same plane? Once you adjust the focus on the microscope, however, you see that the image of the nucleus becomes sharper while the image of the chloroplast blurs. One of them must be a little higher and one a little lower than the other. However, this method cannot give us precise details about their vertical positions". (ScitechDaily, Ingenious New Method Measures the 3D Position of Individual Atoms)

"The principle is very similar if you want to observe individual atoms instead of cells. So-called quantum gas microscopy can be used for this purpose. It allows you to straightforwardly determine the x and y coordinates of an atom. However, it is much more difficult to measure its z coordinate, i.e., the distance to the objective lens: In order to find out on what plane the atom is located, multiple images must be taken in which the focus is shifted across various different planes. This is a complex and time-consuming process." (ScitechDaily, Ingenious New Method Measures the 3D Position of Individual Atoms)

https://scitechdaily.com/ingenious-new-method-measures-the-3d-position-of-individual-atoms/

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The ability to determine the precise point of certain atoms in 3D structures makes it possible to create nano-scale X-ray systems. In that version, the outside system can send energy impulses that resonate with that atom. The atom sends electromagnetic wave movement when it releases that extra energy. The observation system can use that reflection for searching errors in nano-size systems. Or it can determine that atom's point using a ball-shaped antenna structure. 

The scanning tunneling microscopes with moving stylus make it possible to detect minimum errors in nano-scale structures. That kind of system can connected with attosecond lasers, that scan the 3D structures. That kind of system makes it possible to scan and determine the places of single atoms in complicated structures. 

https://academic.oup.com/nsr/article/3/2/170/2460374

https://scitechdaily.com/ingenious-new-method-measures-the-3d-position-of-individual-atoms/

https://scitechdaily.com/opposites-attract-likes-repel-scientists-overturn-fundamental-principle-of-physics/

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

Quantum computers and ultra-fast photonic microchips can danger even the most secure communication.

"Quantum computers could pose a major security risk to current communication systems in 12-15 years with their exponentially greater speed and code-breaking ability. (ScitechDaily, Today’s Most-Secure Communications Threatened by Future Quantum Computers)

Quantum computers can break entire binary cryptography. And that makes all communication unsecured. That is one of the greatest threats in quantum computing. And this brings the arms race to the quantum age. The quantum computer can create codes that any binary computer can break. But the quantum computer can also break old-fashioned codes. And that makes it an ultimate weapon and sabotage tool.  

Quantum computers can change the measurements of the ammunition in factories by changing the system calibration. Or it can delete databases from the opponent's computer systems. This thing can delete all SIM cards from mobile telephones. In peacetime, the hackers that operate using quantum systems can steal the names of the counter-espionage informants. 

"New advanced photonic chips have been developed that optimize light transmission for optical wireless systems. These chips, essential for future 5G and 6G networks, represent a shift towards energy-efficient analog technologies and have wide-ranging applications in high-speed data processing and communication. Credit: Politecnico di Milano" (ScitechDaily, Light-Speed Calculations: New Photonic Chips Are Changing Wireless Communication)

The photonic microchips can also used to hack the ultra-secured communication. The same microchips used as game-changers in wireless communication can also hack that system. 

The photonic microchips can also make it possible to analyze and break even the fastest and most secure communication. If that communication is protected using old-fashioned computers. 

There is a golden rule in use of the encryption software. The time that the system uses to generate the binary number is directly proportional to the time that the system uses to generate the binary number. Riemann's conjecture is a recursive function, that should make very much binary numbers. The Achilles heel in the simple Riemann programs or encryption programs was that the system just calculated a series of binary numbers. 

And that makes the algorithm vulnerable to brute force attacks that make using faster computers. In modern versions, there should be a point in the Riemann series where the computer can start to generate those binary numbers. Then the system can put them in the matrix, and number those binary numbers. The system may use the individual binary number for each letter. In that model, the algorithm uses random numbers that it selects from the matrix. The thing that makes this algorithm vulnerable is that the receiving system must have data. That allows us to decode the information. That means if the receiving system is hacked, that causes real catastrophes. 

That thing means that the attacker gets new settings all the time. If they sent through the Internet. The main problem with Riemann's conjecture is that it's a very used tool. And that means the developers must create more secure ways to communicate than some Riemann's conjecture. That has been a long time the cryptography's cornerstone. But modern ultra-fast computers make it non-secured.

But the other thing is that the new photonic microchips can make data networks insecure. They are faster and more effective data handlers than regular microprocessors. Things like AI-boosted photonic microprocessors are extremely good tools for hackers. Those systems are so fast that they can find the binary number, created using Riemann's conjecture quite quickly especially if the the encryption software user doesn't generate a binary number that encrypts the information. 

https://scitechdaily.com/light-speed-calculations-new-photonic-chips-are-changing-wireless-communication/

https://scitechdaily.com/todays-most-secure-communications-threatened-by-future-quantum-computers/

https://scitechdaily.com/unlocking-the-future-of-security-with-mits-terahertz-cryptographic-id-tags/

https://www.verdict.co.uk/quantum-computing-breaking-security-encryption/

The new humanoid robots break limits.

The new humanoid robots are more fantastic than nobody thought. The BMW's new humanoid manufacturing robots are impressive tools. When humanoid robots work in manufacturing platforms under the dome of the full-scale WIFI transmission and the control of the same supercomputer, they can form multi-level morphing neural networks. They can communicate with supercomputers or with each other. And that is the impressive thing. 

The robots that understand accents are easier to control using spoken words. They can understand natural languages, and people's natural way of communicating. In regular robotics, the user must use grammatically correct language. But modern robots and computers have started to follow orders, that accent-using users can give. The first portal in those systems is the speech-to-text application that transforms spoken words into text. That it drives to the robot's control. 

The system requires only an accent wordbook that can translate orders to literal language and commands that the system must follow. The new ultra-fast processors can drive AI that can remove unnecessary words from the text that the speech-to-text application makes. 

So the system uses the same method as translation programs. And translation programs make it possible. That user can give orders to robots using their language. 

But if those robots are equipped with the sense of touch and the remote VR headsets and systems that bring a sense of touch to the human nervous system from the virtual reality. That thing allows the robot can transmit all its senses to the human operator, who smells, sees, touches, hears, and even tastes the same things as robots. 

The BCI (Brain-Computer interface) VR (Virtual reality) headsets make it possible. That system transmits even tastes from robots to users. The BCI must just know the brain area, where certain signal belongs, and it can transmit a sense of touch and smell. 

The system can also use similar systems that transmit a sense of touch to the system, connected with the tongue. The system can also use bio-printed togues with living neurons. They are connected to the computers. Researchers can use the bio-printed olfactory coil connected with microchips in that mission. Maybe in the future. We have laboratories where cloned tongues and olfactory coils can be used as chemical sensors. Those sensors can send their data through the Internet all over the world. 

This thing is called robot-based augmented reality. In factories, the operators can use one robot that manufactures the first car. And then those operators can scale that model over the network. 

https://www.freethink.com/robots-ai/general-purpose-robots

https://www.freethink.com/ar-vr/device-hacks-nervous-system-to-bring-touch-to-virtual-worlds

https://www.freethink.com/ar-vr/galea-beta

https://scitechdaily.com/1000x-faster-ultrafast-photonics-chip-reshapes-signal-processing/