My Super Black Technology Empire

To drive such a huge mecha, the new generation operating system combined with the human nervous system is the best method of operation.

It's like the people in "Pacific Rim" manipulate those large mechs to fight.

It's just that the humans in "Hu Pacific Ocean" need two people to control the mecha at the same time, because the human technology in the movie is not mature.

If a human is operating such a large mecha, the driver's brain nerves cannot withstand such a large load, and eventually the nerves will rupture and eventually die.

Therefore, the way shown in the film is that one person controls the other brain hemisphere for manipulation, and the neurons and brains of the two people are combined into one, so that they can perfectly control the big mecha in the film.

The single-person version of the neuron system is better than the neuron system in the movie, and its performance is better. At the same time, one person can accomplish things that cannot be done in the movie.

The neuron control system is similar to the anthropomorphic computer that appeared in "The Three-Body Problem", except that it is not composed of human beings, but an electronic computer composed of real artificial neurons, simulating the propagation of neuron electrical signals in the human brain .

The human column computer in "Three-Body" is a majestic phalanx composed of 30 million soldiers, and a computer motherboard covering an area of ​​36 square kilometers.

The basic unit of this computer is a "gate part", and each "gate part" is composed of several soldiers.

For example, "AND" is composed of three soldiers, each holding two small flags, one black and one white (black represents 1, white represents 0); two of the soldiers represent input, and the third represents output.

The third soldier raises the black flag only when the first two soldiers raise the black flag; in all other cases the third soldier raises the white flag.

In the same way, three soldiers can also form other components such as OR gates, NAND gates, and NOR gates.

Just as Von Neumann (a character in the game, a representative of computer experts) in the three-body game said, the complex universe is actually composed of the simplest units.

These simple logical components are connected together to form a complex system to complete complex calculations.

This is actually an "anthropomorphic" description in "Three-Body Problem".

If such a system is really composed of human soldiers, then there is no doubt that

The efficiency of this system should be extremely low, because the human reaction speed is too slow. But the real human computer in the novel is composed of Trisolarans.

According to the speculation of the characters in the novel, the appearance of the Trisolarans may be covered with a layer of total reflection mirror, and they communicate with each other through the language of light focused by the mirror.

Imagine that each Trisolaran can wave the black and white flag 100,000 times in one second, then at this calculation speed, maybe 30 million Trisolarans can really form a practical computer system.

The author of "The Three-Body Problem" has done a good job of popularizing science with this. Even people who don't understand computers at all must have a general understanding of the composition principles of computers after reading this passage.

However, if you think about it carefully, the setting of the novel here may not stand up to scrutiny. The computer composed of logic gate parts is actually just a human computer, and the computer of the Trisolaran may not work in the same way. There are at least two reasons:

First, binary logic and binary are not the most natural choices for living organisms.

Second, the discrete input and output are also different from the real world, and the physical quantities in the macroscopic world are all continuous.

Imagine a basic computing component whose input and output are continuous real numbers, and is not limited to binary logic operations, which is closer to the basic components of artificial neural networks.

We call it a neuron.

If the Trisolarans in the novel can really react 100,000 times a second, and many Trisolarans are connected in a way similar to neurons, then what they constitute will no longer be an ordinary computer, but It is likely to be an existence with super artificial intelligence.

And the power of combining simple components has truly manifested itself in real-world artificial neural networks.

The most basic unit in the neural network - neuron (neuron), also known as the perceptron, (perceptron) is an early neuron structure, which was proposed in the 1950s and 1960s.

It is now rarely used in neural networks, but understanding it can help clarify the basic structure and design ideas of other types of neurons.

The defining elements of a perceptron include:

1. There are multiple inputs: x1, x2, x3, ..., they can only be 0 or 1.

2. There is an output: output. can only be 0 or 1.

3. Each input corresponds to a weight value: w1, w2, w3, ..., which can be any real number.

4. There is a threshold: threshold. It can be any real number.

5. The output depends on the weighted sum of each input and the threshold threshold, that is, if w1x1 + w2x2 + w3x3 +...\u003e threshold, output=1, otherwise output=0.

Intuitively, the perceptron is equivalent to a decision-making model, the input represents the external factors or conditions that need to be considered when making a decision, the weight represents the degree of importance you attach to an external factor, and the threshold represents your decision-making event itself. degree of liking or acceptance.

To give an example: Suppose there is a class reunion on the weekend, and now you are deciding whether to go or not. The factors you consider are as follows:

1. If the weather is good that day, then you will be more willing to participate. Use x1=1 to indicate good weather, and x1=0 to indicate bad weather. Your emphasis on the weather factor is w1=3.

2. If someone you hate also goes to the party, then you are not interested and not willing to go. Use x2=1 to indicate that the person you hate goes to the party, and x2=0 to indicate that the person does not attend the party. Corresponding to the weight w2=-5, a negative value means that the presence of this factor will reduce your willingness to go to the party.

3. But if a girl you have a crush on goes to a party, then you want to go anyway. Let x3=1 mean that the girl goes to the party, and x3=0 means she doesn't. This girl is too important to you, so there is a big weight: w3=10.

Now suppose the threshold threshold=2. We calculate the output according to the previous rules, and this calculation process is equivalent to the decision-making process. If the output is calculated to be equal to 1, then you go to the party, otherwise you don't go.

The decision results are nothing more than the following:

1. If the girl you have a crush on goes to a party, you're bound to go, regardless of other factors. Because the weight w3 is too large, no matter how much other input is, it will cause the weighted sum to exceed threshold=2.

2. The girl you have a crush on doesn't go to parties and the guy you hate does. At this time, no matter what the weather is, you will not go.

3. The girl you have a crush on and the guy you hate don't go to parties. So whether you go or not ultimately depends on the weather.