Skip to main content

Quantum-computer-based AI is better at guessing than humans.

Statistics play a vital role in computer-based guessing. The system makes statistics about the probability of how often some cases are happening. And then, the system will use the statistics for making guesses. The reason why the computer wins over humans in guessing competition is that the computer has statistics about the most common cases. And then the computer must just answer by using the most common case. 

The fact is that the regular, binary computer-based AI might also be better at guessing than humans. In those cases, the AI will not guess things like humans. The AI will use probability calculations and probability databases for making guesses. 

"Scientists achieved a quantum speedup by effectively suppressing errors in a bitstring guessing game, managing strings up to 26 bits long. They showed that, with proper error control, quantum computers can execute full algorithms with better time-scaling than conventional computers, even in the current noisy era of quantum computing". (ScitechDaily.com/Quantum Speedup – Quantum Computers Are Better at Guessing)

If there is a known case. And all records about those cases are stored in databases like how many times the coin's heads and tails side is upward if we throw it the computer can use those kinds of databases to guess what is on upward heads or tails. There could be recorded the database about thousands of heads or tails cases, and then the computer can use that database for making probability-based guessing. 

The probability-based guess is a simple thing. If the computer has a good database of the variables. The computer can collect that database by using things like traffic control cameras. And then it can calculate which way to turn is more popular to right or left. Statistics are the key element for mathematics-based guessing. The idea is that the computer finds the most common cases and then makes guesses by using statistics. 

The AI is the ultimate tool. And AI-based systems can boost business architecture. The AI can collect databases about marketing courses or how people behave in certain situations. And that data is also suitable when the AI tries to predict: how people behave in risky situations. 

If the AI can predict things. Like when the regular driver turns the car in a panic situation. That thing makes it possible to create more advanced and safer autopilots. The system can collect statistics which is the most common direction where a right-handed person turns the vehicle. The autopilot could help to predict the trajectory of the incoming vehicle and avoid destructive situations. 


https://scitechdaily.com/quantum-speedup-quantum-computers-are-better-at-guessing/

Comments

Popular posts from this blog

The new bendable sensor is like straight from the SciFi movies.

"Researchers at Osaka University have developed a groundbreaking flexible optical sensor that works even when crumpled. Using carbon nanotube photodetectors and wireless Bluetooth technology, this sensor enables non-invasive analysis and holds promise for advancements in imaging, wearable technology, and soft robotics. Credit: SciTechDaily.com" (ScitechDaily, From Sci-Fi to Reality: Scientists Develop Unbreakable, Bendable Optical Sensor) The new sensor is like the net eye of bugs. But it's more accurate than any natural net eye. The system is based on flexible polymer film and nanotubes. The nanotubes let light travel through it. And then the film at the bottom of those tubes transforms that light into the image. This ultra-accurate CCD camera can see ultimate details in advanced materials. The new system can see the smallest deviation in the materials.  And that thing makes it possible to improve safety on those layers. The ability to see ultra-small differences on surf

Quantum breakthrough: stable quantum entanglement at room temperature.

"Researchers have achieved quantum coherence at room temperature by embedding a light-absorbing chromophore within a metal-organic framework. This breakthrough, facilitating the maintenance of a quantum system’s state without external interference, marks a significant advancement for quantum computing and sensing technologies". (ScitechDaily, Quantum Computing Breakthrough: Stable Qubits at Room Temperature) Japanese researchers created stable quantum entanglement at room temperature. The system used a light-absorbing chromophore along with a metal-organic framework. This thing is a great breakthrough in quantum technology. The room-temperature quantum computers are the new things, that make the next revolution in quantum computing. This technology may come to markets sooner than we even think. The quantum computer is the tool, that requires advanced operating- and support systems.  When the support system sees that the quantum entanglement starts to reach energy stability. I

Humans should be at the center of AI development.

"Experts advocate for human-centered AI, urging the design of technology that supports and enriches human life, rather than forcing humans to adapt to it. A new book featuring fifty experts from over twelve countries and disciplines explores practical ways to implement human-centered AI, addressing risks and proposing solutions across various contexts." (ScitechDaily, 50 Global Experts Warn: We Must Stop Technology-Driven AI) The AI is the ultimate tool for handling things that behave is predictable. Things like planets' orbiting and other mechanical things that follow certain natural laws are easy things for the AI. The AI might feel human, it can have a certain accent. And that thing is not very hard to program.  It just requires the accent wordbook, and then AI can transform grammatically following text into text with a certain accent. Then the AI drives that data to the speech synthesizer. The accent mode follows the same rules as language translation programs. The ac