Blooming America

Chapter 111, next century, computer

Hive laboratory.

"Nerve reaction is normal."

Repairing the existence of the protein, letting all the research have become simple, especially in human biological science, and there is an unprecedented super progress.

Directly study the human body, of course, a taboo, the human body test is miserable.

However, under the action of repairing proteins and more proteins, this study can have a completely different achievement.

It is not only able to keep organs to act, and even let the organs are still working properly after exile, this gives research a great convenience.

Because of this, the level of human science now can reach the 21st century. If you have a 21st century technology, Catherine even believes that the current human science will reach a completely incredible level.

At this time, a new technology in the world has almost no research, and now it is now carried out.

- Neural computer.

Or, biotech computer.

The neurocomputer is a neural network computer that mimic the brain judgment capabilities and adaptability and has a variety of data function in parallel. Unlike the fifth generation computer mainly based on logic processing, it itself can determine the nature and state of the object, and can take corresponding actions, and it can simultaneously process a large amount of data in real-time changes, and lead conclusions.

The conventional information processing system can only handle data clear and meridian. The human brain has the flexibility to handle the separation, vague, such nerve electronics, will like the wisdom and flexibility of human brain.

- This is just the definition of the computer.

On the contrary, use the function of the neuron to simulate the computer ... Why can't you?

And this is one of the studies in the hive laboratory.

The human brain has 14 billion neurons and 1 billion neurobh, and each neuron is associated with thousands of neurons, and its role is equivalent to a microcomputer.

The overall running speed of the human brain is equivalent to 1,000 trillion computer functions per second.

The neuronal structure of the human brain is imitated with many microprocessors, and a large number of parallel distributed networks constitute a neurocomputer.

Similarly, the nerves can also imitate the machine. Then get a lot of data.

Alternatively, the signal is directly treated with a nerve.

In the concept of neurocomputer, there are many processors in addition to many processors, and each node is connected to many points. If each step is assigned to each microprocessor, they simultaneously operate, and its information processing speed and intelligence will greatly improve.

The information of the neural electronic computer is not present in the memory, but stored in the contact network between the neurons. If there is a node break. Computers still have the ability to rebuild information, which also has Lenovo memory, visual and sound recognition ability.

These are all simulated people.

And this is not a heaven.

This study does not even need until the 21st century, in the original world. Japanese scientists have developed a large-scale integrated circuit chip of neuroelectronics, and 400 neurons and 40,000 nerve bonds can be devices on a 1.5 cm square wafer. This chip can achieve 200 million computing speeds per second. In 1990, Japanese Ricoh Company announced its development of a large-scale integrated circuit "nerve LST" with learning function. This is a chip that is successful in accordance with the nerve cells of the human brain. It utilizes the biological nerve information transmission method, which carries a neuron on a piece of chip, and then connects all the chips to form a neural network. It handles the speed of information 9 billion per second.

The Neural Electronics developed by Fujitsu Institute, updated data speed per second. Japanese Electric Company launches a neural network sound recognition system that recognizes anyone's voice. The correct rate is 99.8%.

The United States has studied the neuronal electronics connected to the two neurons of the left brain and the right brain. The right brain is the experience function, with more than 10,000 neurons, suitable for image recognition: the left brain is the identification function section containing 1 million neurons for storing words and grammar rules.

It is not only just applications in these areas, in the 21st century New York, Miami and London Airports have used neurocompators to check the explosives, check 600 to 700 bags per hour. The detection rate is 95% and the error rate is 2%.

Neural electronics can be widely used in various fields. It can identify words, symbols, graphics, language, and sonar and radar received signals, judge checks, estimate markets, and analyze new products. Traditional medical diagnosis, controlling intelligent robots, realizing automatic driving, development, development, identifying military goals, intelligent decision making and intelligent command, etc.

Simulating human brain on a silicon wafer. Although the final neuronal cells have only the smell of ants, it is finally taken the first step in the machine life.

Some people compare the brain than a bowl of porridge being installed in the cranial cavity. A bowl of porridge weighing about 3 pounds. It consumed 20% of the intake of oxygen and also made a unique civilization of humanity. Of course, this bowl of porridge is working, and it has always been a mystery.

In the 18th century, people are more willing to think that the brain is a precision instrument. The brain has more than 10 billion neural cells, and the connection between them may exceed 1,000 trillion. This complexity exceeds the current technical level of humanity, so that some people say: "If the human brain is simple to understand, then people will definitely can't understand their own brain."

So that there is no pessimism. If you only need operation, it is not necessarily to rely on the brain. Artificial intelligence in the 1950s has a thinking ability, so that the company's founder of the company Alan. Tuling is optimistic, when human beings move into the 21st century, the computer should have a considerable intelligence.

Of course, this sentence now looks more like an idiotic dream, although IBM computer "deeper blue" early in 1997, the human chess world champion, but that machine head can only use huge storage and rapid calculations. Not true thinking.

The computer now has a speed and accuracy that is far from human thinking, achieving a large number of tasks that belong to the field of human thinking, from the most complex calculation to the most realistic simulation, and even "write poems" and "composer".

And against it?

How is the nerve who think about "thinking"?

First, significant knowledge of the cognitive subject is currently actively thinking and looking for a solution, as "informative information" is delivered to the subconscious. This is the premise of inspiration. The subconscious presentation is carried out around this "main". This instruction information, whether in the form of light wave, acoustic wave, pressure, temperature, etc., or in image, language, and concept, all in the biological current pulse signal, and passed through nerve fibers to the right brain.

In other words, regardless of the signal, it will be converted into a current pulse signal.

And this is that it can be simulated.

In other words, this is the "input signal" relative to the electronic computer.

Then aware of the "instruction information" to the subconscious, due to the strong requirements of self-awareness, the time and space distribution of the formed electrical pulse signal exhibits "light" (more intense than usual), thus promoting new input perceptual information Subtoactive activities with the existing experiences have accelerated, and the restructuring of the right cerebral neural network function is more tacit, resulting in "new information" or "good graphics" after subconscious preview.

The result of the second step is given to the significant knowledge. It is obvious that the feedback information is often analyzed in the form of abstract thinking, image thinking. If you do not meet the requirements after identification, it will be delivered to the subconsciousness in the new instruction information.

Such a few times, once the propensity of the inquiry, the results of the subconscious, and people have got a conclusion.

And this is the way the CPU processing electronic signal in the electronic computer.

Then, people will act according to the results obtained, this is the "signal output".

What can the human brain do?

For a few more, if a person wants to use the computer, put the characters in a picture to "", this person first gives a high-performance computer, then there is a software in this, and finally using the software Come to "".

However, if the human brain can output the image directly, then you can save these steps. If this person looks at the characters inside this figure, it will completely identify it, this picture is coming out, then the human brain It is also possible to "modify" at will, and finally output, you can get perfect images.

Perhaps this ability is similar to "brain supplement".

But this is what the biotech can really do.

If there is such a computer in the reality, what extent can you reach?

- Even in the first decade of the 21st century, the supercomputer still did not get 1% of the calculation rate of human brain.

Of course, this is different, and the human brain is not likely to calculate the addition and subtraction and division, but is on the logical operation and thinking.

The human brain does not have to draw conclusions according to the calculation of the hard calculation, but through another way.

Of course, it is now impossible to use a human brain. After discovering that the repair protein has a role, they are used, the primate, such as the brain of the orangutan, and these brains also have neuronal systems and structures.

Such a brain is a biotech, a neurological computer's opportunity.

Everything is a slow change.

......

The stomach is getting more painful, I can't stand up, so sad, this chapter is not very good, forgive me ...