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Hive Labs.

"Nervous response is normal."

The existence of repair proteins has made all research easier, especially in human biological sciences, which has made unprecedented progress.

Direct research on the human body is of course a taboo, and human experimentation is inhumane.

However, under the action of repair proteins and replacement proteins, this kind of research can have completely different achievements.

Not only can the organ remain active, but it can even allow the organ to continue to function normally after being removed from the body, which brings great convenience to research.

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

At this time, a new technology that had hardly been studied in the previous world is now being developed here.

——Neural computer.

In other words, biological brain computer.

A neural computer is a neural network computer that imitates the judgment and adaptability of the human brain and has the function of processing a variety of data in parallel. Unlike the fifth-generation computer that mainly focuses on logical processing, it can itself determine the nature and status of objects.

, and can take corresponding actions, and it can process large amounts of real-time changing data in parallel at the same time and draw conclusions.

In the past, information processing systems could only process clearly organized data with clear meridians. However, the human brain has the flexibility to process fragmented and ambiguous information. This type of neuroelectronic computer will be similar to the wisdom and flexibility of the human brain.

——This is just a definition on the computer.

Instead, use neurons to simulate the functions of a computer... why not?

And this is one of the studies being carried out by Hive Lab.

The human brain has 14 billion neurons and more than 1 billion synapses. Each neuron is cross-connected with thousands of neurons, and it functions like a microcomputer.

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

Using many microprocessors to imitate the neuron structure of the human brain, and using a large number of parallel distributed networks, a neural computer is formed. In the same way, nerves can also imitate machines, and then a large amount of data can be obtained.

Or, use nerves directly to process signals.

In the concept of neural computers, in addition to many processors, neural computers also have nerve-like nodes, and each node is connected to many points. If each operation step is assigned to each microprocessor, they operate at the same time, and their information

Processing speed and intelligence will be greatly improved.

The information of the neuroelectronic computer is not stored in the memory, but in the connection network between neurons. If a node is broken, the computer still has the ability to reconstruct the data. It also has associative memory, visual and sound recognition capabilities.

These are all done by simulating the human brain.

And this is not a fantasy.

This research does not even need to reach the 21st century, in the original world. Japanese scientists have developed a large-scale integrated circuit chip for neuroelectronic computers, which can install 400 neurons and 40,000 synapses on a 1.5 cm square silicon wafer.

This kind of chip can achieve a speed of 200 million operations per second. In 1990, Japan's Ricoh Corporation announced

Bu developed a large-scale integrated circuit "Neural LST" with learning function. This is a chip successfully developed based on the nerve cells of the human brain. It uses the biological nerve information transmission method to carry a neuron on a chip.

, and then connect all the chips to form a neural network. It processes information at a speed of 9 billion times per second.

The neural electronics computer developed by the Institute of Fujitsu updated the data speed of nearly 100 billion times per second. Japanese Electric Corporation launched a neural network sound recognition system that can recognize anyone's voice. The accuracy rate reaches 99.8%.

The United States has studied neurophastic computers connected to the two nerve blocks of the left and right brains. The right brain is an experience function. There are more than 10,000 neurons. It is suitable for image recognition: the left brain is the identification function part, which contains 1 million

A neuron, used to store words and grammatical rules.

Not just applied to these fields. In New York in the 21st century, the airport in Miami and London has checked the explosives with a neurotic computer, and 600-700 pieces of luggage can be checked per hour.

It is 2%.

Neur electronics computers can be widely used in various fields. It can identify text, symbols, graphics, language, and signal received by Senar and radar, judge checks, estimate the market, analyze new products, perform medical diagnosis, control smart robots, control smart robots

To achieve autonomous driving, developing, identifying military goals, intelligent decision -making and intelligent command of automobiles and aircraft.

The simulated brain on the silicon wafer. Although the final nerve cells only have the level of thinking of ants, they finally take the first step in the life of the machine.

Some people compare the brain to a bowl of porridge in the cranial cavity, a bowl of porridge about 3 pounds, which consumes 20%of the oxygen and also creates a splendid civilization of human beings. Of course, how does this bowl of porridge work work?

Yes, it has always been a mystery.

Since the 18th century, people are more willing to think that the brain is a precision instrument. The brain has more than 10 billion nerve cells, and the connection between them may exceed 100 billion trillion. This complexity exceeds the current level of human technology.

Even some people say: "If the human brain is simple to make people understand, then people will be stupid enough to understand their brain."

That said, there is some pessimism. If only the calculation is required, it may not be relying on the brain. The artificial intelligence of the 1950s in the 1950s has the ability to think about, so that one of the founders of the electronic computer, Alan Turing predicts it.

In the 21st century, computers should have the same intelligence as others.

Of course, this sentence now looks more like a dream. Although the IBM computer "deeper blue" has defeated human chess world championship as early as 1997, the machine's head can still only rely on huge storage and rapid calculations.

Instead of thinking in the true sense.

Computers have now achieved a large number of tasks that originally belonged to the field of human thinking at the speed and accuracy that human beings could not reach. From the most complicated calculations to the most realistic simulation, even "writing poetry" and "composition".

And do you do it?

How does the nerves "think"?

First of all, the subject of consciousness is currently actively thinking and looking for solutions, which is transmitted to the subconscious as a "instruction information". This is the prerequisite for inspiration.

Instruction information, whether it is in the form of light waves, sound waves, pressure, temperature, etc., or the appearance of image, language, and concepts, will always be converted into biometric pulse signals, and pass through nerve fiber to the right brain.

In other words, no matter what kind of signal, it can be converted into a current pulse signal.

And this can be simulated.

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

Then, after the conscious mind transmits the "command information" to the subconscious mind, due to the strong demand of self-consciousness, the spatio-temporal distribution of the formed electrical pulse signal presents "bright" (much stronger than usual) information, thereby prompting new input of perceptual information.

The acceleration of isomorphic activities with existing experience information also makes the reconstruction and cooperation of the right brain neural network functions more tacit, thus obtaining "new information" or "good graphics" after subconscious inference.

The result of the second step of integration is fed back to the conscious mind. The conscious mind often comprehensively analyzes the feedback information in the form of abstract thinking, image thinking, etc. After identification, if it does not meet the requirements, it will send new command information to the subconscious mind.

After repeating this process many times, once the purposeful inference results flow into the subconscious mind, the person will reach his or her own conclusion.

And this is how the CPU in an electronic computer processes electronic signals.

Then, people will act based on the results obtained. This is the "signal output".

What exactly is the human brain capable of?

For example, if a person wants to use a computer to "cut out" the characters in a certain picture, the person must first have a high-performance computer, then have software like Photoshop, and finally use the software

Come to "cut out pictures".

But if the human brain can directly output the image, then these steps can be saved. If this person looks at the characters in the picture, he can completely recognize them in an instant, and the picture comes out. Then, the human brain

You can also "modify" the image at will, and finally output it to get a perfect image.

Perhaps, this ability is somewhat similar to "brain supplementation".

But this is what the biological brain computer can really do.

If there is such a computer in reality, what level can it achieve?

——Even in the first decade of the 21st century, supercomputers still did not obtain 1% of the calculation speed of the human brain.

Of course, there is a difference. The human brain cannot calculate addition, subtraction, multiplication and division, but relies on logical operations and thinking abilities.

The human brain does not draw conclusions based on rigid calculations, but in another way.

Of course, it is impossible to use human brains now. After discovering that repair proteins have an effect on apes, they used the brains of primates, such as orangutans, which also have neuronal systems and structures.

And this kind of brain is the opportunity for biological brain and neural computer.

Everything is changing slowly.

…

My stomach hurts more and more, and I can’t even stand up. I’m so sad. I’m not in a good state in this chapter. I’m sorry...

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