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What makes AI hard to teach?

Sometimes, when we use AI. We face things that the AI gives answers that have no logic at all. Those answers might make no sense. That makes researchers think, about how to make AI more trusted. Or rather saying. Make AI the ability to give more right answers.  When we ask something about things like mathematics, the AI is a tool that gives the right answers, if we ask things like what is the Pythagorean claim. In those cases, where AI can pick precise information from simple questions, it's invincible. Or if we want the AI can calculate the right triangle's area and give the measurements of the catheters and order to use the Pythagorean claim so that the AI will not make mistakes. But when we ask something else we face things that the AI doesn't think.  Then we must realize. What is the difference between data connections from different sources and deep knowledge? Deep knowledge means that the system knows what the words mean. And in that case, we must realize, that when w
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The AI learns to think like humans.

"AI’s ability to learn through thinking, akin to human cognitive processes, showcases its potential and limitations in mimicking human reasoning and adaptation. Credit: SciTechDaily.com" (ScitechDaily, How AI Is Learning to Think on Its Own Like Humans) The thinking process means that the system, like human brains interconnects data and transforms it into a new form. That data transformation can happen through internal simulation or by connecting data from sensors to the data, that system stored in databases.   And even if "New research highlights how AI, like humans, learns through explanation, simulation, analogy, and reasoning without external inputs. This on-demand learning, beneficial for adapting knowledge to new contexts, illustrates similarities and pivotal differences between natural and artificial cognition, offering a unique lens to study human thought processes and AI’s potential and limitations" (ScitechDaily, How AI Is Learning to Think on Its Own Like

Terahertz systems have a new capacity to manipulate light.

  "Researchers have created a new method to generate structured terahertz light beams using programmable spintronic emitters, marking a significant advancement in terahertz technology. This innovation allows for the generation and precise manipulation of light with both spin and orbital angular momentum."(ScitechDaily, Terahertz Breakthrough: New Technique Offers Unprecedented Control Over Light) "The technology has potential applications in security, medical imaging, and communication. This development overcomes previous challenges in generating and controlling terahertz light, paving the way for novel devices with enhanced capabilities. Credit: SciTechDaily.com" (ScitechDaily, Terahertz Breakthrough: New Technique Offers Unprecedented Control Over Light) New terahertz systems use spintronics to create radiation. The system uses spintronic-based programmable spintronics. And those spintronics have an important role in the new terahertz systems that can open paths t

The photonic neural networks make messages safer.

"Researchers at the Max Planck Institute for the Science of Light have developed a simpler and potentially more sustainable method for implementing neural networks using optical systems." (ScitechDaily, Neural Networks Made of Light: Photon Power Drives the Next AI Revolution) The AI requires a very secure data transmission. The purpose of ultra-secured data transmission is that the outside effects don't harm information.  When data travels in a complex structure high-level encryption guarantees that only receivers of the data can receive it. Because the entire network will not handle the same data, that leaves reserve in that network.  That guarantees that neural networks cannot be stuck. If there are some kind of problems with the photonic or electric routers the system can put information to travel in other routes.  This structure where the system follows the minimum force principle saves energy. But it allows the system to handle multiple missions at the same time. If

The AI's effect on our lives is not always positive.

AI can help us to live more effectively and healthily. The AI that follows things like stock marketing can make people wealthier than ever before.  But does it serve us too much? Things like food delivery robots bring food to our door. And that means that we must not go out anymore. And the loss of exercise can cause problems with health.  It can observe what we eat and calculate calories, but then we must read and follow those instructions. AI can make a training program that helps to improve our health, but the thing is that it's on us if we follow that program. If we don't follow those things, that thing has no effect.  The other thing is that we can work at home. And if we have the AI-based investment tool, that thing can guarantee that we will not lose any money in places like stock marketing. The system can follow the advance of stock value, and then it can select the targets, that give maximum profits in a short period. The system can hold those stocks until their value

AI will have a big effect on work life.

When we use things like AI chatbots we must remember, that we, humans are the boss. The AI follows our orders and gives information. But the thing that we must remember is this: the answers that the AI can make depend on the sources. If the thing that we ask is very rare. That causes an effect, the AI can give answers. That is not suitable for that situation.  We must avoid waiting too much for those chatbots. The AI chatbots use the same data sources as humans. And when we give orders to chatbots, we can follow the same rules, that we follow with humans. The orders must be clear, and then we must check the answer.  Cheating the AI is quite easy. The cheater must only make a fake homepage, and then raise that homepage's page rank. And if the AI doesn't know trusted page details, that thing makes it possible to make the AI give wrong information. The same way the cheater can cheat humans.  When we operate with the AI we can think that the chatbot is the new teammate. We must giv

Vacuum tubes can open new paths for quantum communication.

"Researchers outlined a new method to build a quantum network that spans the country by using vacuum beam guides, in which qubits can travel thousands of miles inside small vacuum-sealed tubes. Credit: SciTechDaily.com. (Scitech.Daily/ From Sci-Fi to Reality: Vacuum Tubes Could Revolutionize Quantum Networking Vacuum is a good tool to protect information and keep the system's temperature low. If the superconducting computers are in a thermos bottle there is a vacuum in their walls, that helps to keep the temperature low in the liquid nitrogen, which is suitable for the superconducting computers.  The other thing is this. Vacuum offers a dirt-free area for the photonic computers. In some visions, the photonic computers are in vacuum boxes. And that offers a stable environment for those machines. Air molecules will not disturb laser rays that can operate through the vacuum. The liquid gas like nitrogen is used in the cooling systems.  But in the photonic computers, the laser ray