What is the difference between the way the human brain thinks and the way computers think?

In 50 years, human beings can copy brain consciousness into computers According to the British Guardian report, a top futurist in the United Kingdom believes that in the next 50 years, human beings are expected to put the information in the brain into a supercomputer. Ian Pearson, the chief futurist at British Telecom, told the Guardian that the technology could be achieved in about 50 years. But at that time (2050), only the wealthy can afford to enjoy this technology, and for the average person, it will not be able to enjoy it until 2075 or 2080, when the technology is widely available.

Here's how he reasoned: Sony's PS3 is 35 times faster than the previous generation PS2, and its computing power has reached 1% of the human brain, and if it develops at this rate, we will be able to copy the information of the human brain into a computer in 50 years and run it. This idea was actually sold back in the 70s.

Pearson believes that the next goal of the computer is to replicate human consciousness. He also said that computers will have emotions, so that computer-controlled planes with emotions will be more afraid of crashes than passengers, which means that planes will do everything in their power to avoid crashes. According to this expert, in 50 years, we may be able to live forever, but we will be imprisoned forever in a Dell supercomputer bought by relatives.

Suddenly, the future doesn't look so good.

Active and passive, the computer must also be controlled by people.

Computer thinking means that people have to have the thinking to operate a computer to operate a computer, and computer language has no thought. Computer language"Thoughts"Existing in the brains of the people who write the programs separates the ideas and methods of the computer language.

Computational thinking requires the understanding that existing computers cannot think like human brains.

1. Big and small.

People live in a world of small numbers, and computers often deal with big numbers. The approach to dealing with the big digital world is quite different from the approach to dealing with the small digital world. Methods summarized in small quantities cannot be applied to higher-order problems, such as the early days of the Internet, where there was not much content, and it was possible to use portals organized by taxonomies, but with the rapid growth of data, search engines quickly replaced the original portal** model.

In the computer world, almost any common question already has an optimized answer, and as a learner, you should first be good at using the answers given by professionals and verified countless times, rather than coming up with a solution based on your own life experience. Algorithm design and algorithm analysis are broad and profound.

2. Fast and slow.

Human evolution, social and economic development is relatively slow, while the development of computers has doubled in 18 months, which is equivalent to a 100-fold increase in 10 years. In the era of intelligence, human thinking must adapt to this rapid change, and the future must be foreseen and predicted.

The human brain, like a computer, has the function of "saving information", but there are other things in common, such as the human brain has a similar storage mechanism to RAM and hard disks.

However, through the learning experience of dogs, it is possible to realize that the nature of the human brain is very different from that of computers. We all know that extreme times it takes only one memory to fully learn what they have learned. As long as you press the "Save" button, you can save the articles, drawings, and games you wrote on your computer without any mistakes.

The computer converts all the information into digital signals.

0 and 1 after processing, he can save any information. And since the computer can save all the information accurately, it won't be wrong whether it's black or white, O or X. However, the human brain is not only forgetful, but it is also difficult to make accurate judgments, so it often leads to wrong answers.

It may seem that the way the brain and the computer process information are very different. Next, let me explain how they work.

Just like computers, electrical signals are transmitted in the neural circuits of the human brain, except that computers transmit signals through electrical currents, while human nerves pass through ions (sodium ions.

to transmit the signal. Since both transmit a digital signal, the information emitted from the signal source does not change in any way during the transmission, and both are the same in this regard.

The next thing to talk about is the difference between the two. Neurons in the human brain pass through nerve fibers.

Circuits are formed, but there is no physical contact between the individual nerve fibers. Unlike circuits, neural circuits are not a tightly knit whole, with tiny gaps between fibers and fibers.