Movie black technology
Chapter 126: Perfect Recognition (
It was time for dinner, and most of the people in the base were there. As soon as Chen Shen walked in, he became the focus of everyone.
Only the people in the five laboratories under Shi Yi were relatively calm.
After all, they now work in the storm cabin every day, and Chen Shen also selectively revealed some news to them before.
For the crimson storm, they have long been psychologically prepared.
"Master, is the new project really going to build a mech that big? I thought the Boxer was already big enough."
Just as I was looking for a place to sit down with dinner, a researcher next to me asked.
There were other people sitting on the strip-shaped dining table, and they all pricked up their ears. For this question, they also want to know the answer.
Chen Shen took a look at them. Like Yang Xing, he was a researcher of the fire mecha project, but he was in charge of the mecha structure design.
"Now that the projects have been announced, can there be fake ones?"
Hearing Chen Shen's affirmative words, everyone unconsciously stopped chewing.
"For such a large mech, how should its structure be designed to meet the balance and stability..."
Everyone thought about it, and the structural design of their fire mecha alone was as complicated as a mess.
If the mecha is enlarged ten times, how many researchers must be killed to ensure that the mecha will not cause problems?
Not to mention that the big mecha has to meet the deep diving function of 7,000 meters underwater. In addition to being balanced and stable, the overall pressure resistance and sealing performance must also reach a perfect level.
There are also life support devices, power devices...
Tut tut...
Thinking about it this way, they became even more curious about the true face of that big mech. If it could be built, it must be an industrial wonder in the history of mankind!
After thinking about it, the group put down their eating chopsticks, and unconsciously began to discuss the structural design of the large mecha, and even drew pictures on the table with their fingers to simulate the design of the mecha, obviously an occupational disease.
Sometimes I asked Chen Shen if their inferences were correct...
This is the day-to-day obsession in the base.
Seeing this scene, Chen Shen quickly finished the rice in the bowl, and decided to stay away from these obsessed people. He only knew about research all day long, and they were flying to the Mediterranean Sea.
Back in his dormitory, Chen Shen had just finished taking a shower when he suddenly remembered something.
During the previous storm arm test, he filmed it.
Now that the Crimson Storm project has been publicized, it's time to release it, just to maximize the popularity.
He is an old sickle as soon as he makes a move!
The craftsmanship of Karma leeks will not stop if it does not advance.
Open my meager account, skillfully dug out the video I took before, and took another look, there is no need to code.
In the entire video, there are no extra objects except for a huge mechanical arm and its outer armor.
Upload directly.
release.
Then Chen Shen put down his phone, sat in front of his computer, continued the training of the neural network algorithm, and studied the underlying architecture of artificial intelligence in the system by the way.
The deep neural network algorithm given by the system is much stronger in function than other similar neural network algorithms.
Currently, it has shown amazing efficiency and accuracy in image recognition.
Chen Shen randomly grabbed a part of the video on Kuaiyin and showed it to the system neural network. Without any instructions, the neural network learned to recognize various objects on its own.
For example, the animals, humans, and furniture that appeared in the video.
Up to now, it has been able to perfectly identify more than 20 kinds of common animals on the Internet, whether dynamic or static, according to the current detection results, the recognition error rate has dropped to zero.
Chen Shen also tried to manually cut out the waist part from several pictures of cats. As a result, the system neural network still accurately recognized that the picture belonged to the waist of a cat, not a leopard or a leopard. Tiger's waist.
Such pictures are sometimes unrecognizable.
Similar experiments have been done by various large companies in the industry, but this is still an amazing achievement.
You know, the number of videos he showed to the neural network is only about 100,000, and the number of these videos about cats or other animals is even smaller.
In other words, the system neural network can perfectly recognize a certain object with only a very small amount of training.
For other neural networks, if you want to achieve similar effects, you need to build a huge database and a huge neural network, and let it perform at least hundreds of millions of training and learning.
Behind the pictures and videos uploaded by people on various network disks, as well as various large-scale live broadcast websites, there is a deep neural network that is scanning "learning" behind it, monitoring the video screens and bullet screens in real time, and judging illegal content.
However, even after so many studies, the image recognition effect of most neural networks in the industry is still impressive, and it is still far from the 100% accuracy of the system neural network.
Of course, the system neural network is not without disadvantages, or it is not a disadvantage.
That is, as it runs, it requires more and more server resources, and now his computer can't accommodate it.
"It's time to configure it with a server." Chen Shen opened a bottle of Happy Water, checked the performance of various servers on the Internet, and soon fell in love with one of them.
After sending the link and requirements to Wang Qian, he became a hands-off shopkeeper.
And at this time.
Chow Tai Fook, who had already returned to school from home, was lying on the bed in the dormitory, checking the news on his phone.
In the dormitory, his eldest son, Chen Peng, was practicing his fadeaway jumper without the ball. From time to time, he would take off and throw the air ball in his hand.
"Fu'er, have you heard about the big mecha recently?" Chen Peng took a break and spoke suddenly.
Zhou Dafu raised his head and glanced at him, "Of course I heard about it, I'm watching related news right now."
"It's been said on the Internet that this kind of big mecha can't be built, and I'm a little bit guilty when I say it. Do you think such a big mecha is unrealistic?"
When he just heard about this project, Chow Tai Fook was very happy as a mech fan, but after watching the comments on the Internet, he felt more and more that this project is not reliable?
He looked at the various formulas and theorems listed by those people on the Internet, and gave the project a death sentence on paper.
It's okay for one person to say that, but it makes sense for a hundred people to say that. Three people make a tiger.
And this is not only what they say at home, but also at home and abroad.
Many foreign university professors have stepped forward and calculated the difficulty of manufacturing such a large mecha through various methods, and finally concluded that it is almost impossible.
Chen Peng started to make jump shots again, and said, "Of course it's unrealistic. If you think about it, you know how to build such a big mech now?"
However, Zhou Dafu did not respond to his words for a long time. He stopped jumping and looked at Zhou Dafu strangely.
But he saw that he was looking at his mobile phone dumbfounded at this moment.
"Fu'er, what are you looking at?"
Zhou Dafu turned the phone around and showed him the screen, "Son Peng, who said that a big mecha can't be made, what do you think it is?"
On the screen at this time, a huge red mechanical arm was smoothly making a fist.
Take a look at the account that posted the video——[Mecha Knows the King-Chen Shen]
For a moment, Chen Peng was also dumbfounded.
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