Academician Zeng was interested and asked, "How do you say?"

Chen Song naturally said, "You see, the country won’t let us go because it is too risky, but if spacecraft and deep-sea submersibles become ordinary things like airplanes one day, then our application should be passed."
Academician Zeng was a little impressed by the young people’s active thinking and said seriously, "But I can’t study submersible. Why don’t you help me study submersible while studying spacecraft?"
Professor Yuan came out and said a fair sentence, "Lao Zeng, I think you’d better stop fooling around. Think about it. Even if they go to study submersibles and other submersibles and become like airplanes now, you may not be able to wait. However, if Xiao Chen and children go to study spacecraft, they may really be able to wait until that day."
Hearing this, the scholars present couldn’t help feeling that they were young, just as if they had to admit that they were old, although they still had ambitions.
Chen Song comforted, "Now science and technology are developing very fast, and it may be another story in ten years. After ten years, all the teachers are still very young."
Everyone was amused by Chen Song’s remark that they were young, but they also knew that they were not young anymore. Professor Fang said that "scientific and technological progress is really fast, but progress should also pay attention to a basic method, like the research on artificial intelligence has been standing still in recent years."
The professors present here, except Professor Fang, are not in the computer field, but their daily research bases are all connected with computers.
For example, Chen Song’s research sometimes needs artificial intelligence assistance, and he is also amazed at the ability of artificial intelligence now. However, he can’t say that he knows a lot about artificial intelligence research, so he asked curiously, "What do you mean? It seems that you can often hear what breakthroughs have been made in artificial intelligence in any laboratory or company, and you can often see the news saying that what intelligent programs have produced self-awareness. "
Professor Fang looked at the others out of the corner of his eye and looked curious. He explained naively, "Those sayings that artificial intelligence has produced self-awareness are all nonsense or simply thinking too much. Now people’s technical roots can’t make artificial intelligence produce self-awareness. Now you are exposed to artificial intelligence programs. It seems to be very clever, but in fact, it is a lot of data irrigation, and they can’t’ understand’."
After thinking about it, Professor Fang gave an example: "For example, if we show a lot of dog pictures to artificial intelligence now and tell them that it is a cat, then they will recognize the dog as a cat."
The professors in the room looked at each other for a while before someone said hesitantly, "I’m not trying to wrangle, but if we tell a white kid that a dog is a cat, they will also recognize a dog as a cat, right?"
Professor Fang was suspiciously silent for several seconds before saying, "But if we tell a child this misconception, it will be easy for the child to find out that it is a mistake in the process of growing up and make a correct judgment that the dog is not a cat but a dog, but now artificial intelligence is not good. Their logic is rigid and mechanical, and machine learning is still a black box at present, so it is difficult for us to really manipulate it carefully."
Tong Yihuai said, "I have heard this saying many times. What does it mean that machine learning is a black box?"
Professor Fang explained, "Because what we can do now is to feed machines with a lot of data, we hope that they will learn data, and they will produce their logic from the massive data, but what will happen in this learning process is more than the learning process, and we all know what we can do, just feeding them with data."
"I have to say that machine learning methods have greatly helped the development of artificial intelligence, and the Internet has also brought a lot of convenience to machine learning. Now the amount of data fed by artificial intelligence is hundreds of billions, and massive data makes artificial intelligence look smart. Developers try their best to make artificial intelligence look like human beings, but it just looks like it. They are not real human beings. It can be said that they are far from each other."
Chen Song held his face and said, "Is it really impossible for technology to create artificial intelligence like having human intelligence in scientific research and testing artificial intelligence through Turing?"
Professor Fang smiled. "No, although machine learning is indeed very popular, it was actually discovered by the academic circles a few years ago that the road of machine learning seems to have come to an end. It is already difficult for us to further improve the artificial intelligence ability through machine learning. Alpha Dog seems to be a peak. Now we need to find a new breakthrough.
"In addition, although Turing test is Turing, Turing test is not so reliable from the current point of view. Psychologists have conducted phase experiments for a long time and found that a completely different Xia literati can show that he is proficient in Xia Wen through phase English, and artificial intelligence can also make similar dialogues with humans through massive data, which makes people mistake it as human, but it actually has no real human thinking."
Speaking of this, Professor Fang smiled and said, "Actually, the artificial intelligence we have developed now is not as good as a cat. Although cats are not particularly clever, animals and human beings can learn by analogy, but the machines are different, just like Xiao Chen and children. Your reading and knowledge are definitely not comparable to the machines, but your wisdom is far superior to the machines.
According to the popular saying on the Internet, what we have developed now should not be called artificial intelligence, but artificial mental retardation lies in the road of real artificial intelligence, which is exactly what we are confused about now and may need a new direction in exploring artificial intelligence research.
That’s true, Chen Song. They didn’t expect that artificial intelligence research seems to have been in a prosperous period in recent ten years. Not only academic circles, but also many enterprises have joined the research on artificial intelligence, so that the threshold of artificial intelligence for some enterprises that seem to be not strong has become very low.
There has always been a lot of news about artificial intelligence, and many people in the industry feel that their artificial intelligence has produced self-awareness. Although it was later rumored, laymen did learn about the difficulties in the field of artificial intelligence research
Professor Fang Naidi said, "From the perspective of enterprise’s own needs, artificial intelligence has become bigger and bigger than from the perspective of some scientific research AIDS, and it is more and more in line with market expectations, but it seems that our research on artificial intelligence has indeed entered a bottleneck period."
Academician Zeng interrupted Professor Fang’s complaint and seriously asked, "I don’t like to produce self-awareness artificial intelligence. They may not be good at research, but they probably don’t rest." But is it too humane not to let them rest now that they have a sense of self? Oh, forget it. Anyway, there is no self-conscious artificial intelligence. I want to ask if you can develop an artificial intelligence that can help salvage marine garbage? "
Professor Fang looked puzzled, "isn’t it just to salvage marine garbage directly?" How are you going to help? "
Academician Zeng joined the complaining team. "It would be nice if this were the case. It’s not easy to salvage marine garbage. I don’t know if you have heard that there are some marine garbage dumps in the ocean that have been bothering scholars from all over the world for many years. We have been trying to solve those marine garbage dumps, but there has been no good way.
"The formation of those marine garbage dumps is mainly due to ocean currents, which gather floating garbage everywhere in the ocean in those areas. It is also ocean currents that gather some floating creatures such as jellyfish in those marine garbage dumps, because these floating creatures will hurt those floating creatures if we simply and rudely bring the garbage directly. In view of the large number of floating creatures in the garbage dump, this will have a great impact on marine ecology.
"But if we ignore this, those floating creatures living in the garbage dump are equally harmful to their health, and it is likely to cause these floating creatures to eat marine life and seabirds to swallow plastic garbage during predation, which will also affect their marine ecology. At present, the situation is a dilemma. We have also considered some solutions, but we have always made it perfect."
After listening carefully, Professor Fang began to think about whether artificial intelligence can play some role in it.
After thinking about it, he said, "Listen to you, I do have a preliminary plan, but it needs a lot of data, including the species of living organisms in the marine garbage dump and various data characteristics, as well as ocean current model. If it is really a big project, it is really impossible, but in view of the need for funds, it may require international cooperation, and we need a mathematician to help us model."
Hearing his words, everyone’s eyes fell on Chen Songshen. Who else in the mathematician country is better than the Philippine Prize winner?
There are many mathematicians in the world who can compete with him, but it is still difficult to expect those mathematicians to study this modeling. After all, everyone knows that pure mathematicians are not interested in this kind of thing.
Chen Song pondered and said, "I’m a little busy recently. If this project is really going to be carried out, it’s certainly a good thing, but I may not be involved, but it doesn’t sound very difficult. If you really need it, I have several students who are very strong and I can ask them to help."
Academician Zeng and Professor Fang also know that Chen Song is now working on the large-scale particle collider project. Although the project is high and low, marine environmental protection is also very important, but it is certainly impossible for Chen Songfang to help them.
Actually, they can’t judge this math problem. Since Chen Song thinks he is a student, it should be true, right?
So the word is not even a word, and several professors have given the main personnel in a few words.
After the Youth League was built back, Dean Zhi strolled over and asked, "How is the Youth League built by Chen Song?"
Chen Song thought about discussing frontier science issues with the professors, and learned a lot about other fields. He felt really good, so he nodded, "It’s fine. I had a good chat with the professors."
Although Dean Zhi didn’t know what Chen Song had done, he nodded with satisfaction. He was more happy to expand Chen Song’s circle of contacts. "Then don’t let me rush the group building. Of course, there won’t be a short time. It should be more than a few years."
Chen Song originally heard that group building was a very tiring and annoying thing, mainly because he ran a group of sand sculptures, and friends said that now he felt that it was not a very bad project, so he nodded cheerfully.
After Dean Zhi left, Chen Song went back to his office to learn about the progress of a student, and then said with a smile, "When I went to the League Construction today, I chatted with professors from other colleges and planned to do a marine environmental protection project. I will probably ask you to help then."
Busy, out-of-body experience, the students’ expressions are a little dull, and they know something about league building. Bai Zheng has an incredible expression. "Is there something wrong with teaching you league building activities?"
Shouldn’t other people’s group building be about playing games together or something?
Why is it that a group of professors sit together and talk about the project in their school league building project, and they also set up a framework on the spot to sell the students by the way?
This is the first time for Chen Song to participate in the league building. Although he has heard something before, he obviously can’t believe everything. He asked, "What’s wrong?"
Bai Zheng thought about it carefully and felt that he thought it might not be right. After all, who can let a group of old professors play any games?
Probably, let’s go out for a walk, find a place with good scenery, have a rest, eat some fresh food and chat.
Well, it seems that it’s not surprising that professors are chatting about a project …?
Not determined, Bai Zhengli shook his head and said firmly in Chen Song’s silly eyes, "There is always something wrong with other people’s league construction. It can’t be to talk about work, right?" Isn’t everyone taking this opportunity to rest and play? "
Chen Song showed a sincere smile and said, "Yes, so we didn’t talk about work either. We just talked about scientific research in various fields and then talked about marine environmental protection by the way. Isn’t it normal to find a way to solve it since we talked?" Environmental protection is everyone’s problem, right? After all, there is one on the earth, which has nothing to do with work. "
Bai Zheng once again lost in thought, which seems to be really no problem. After all, human thinking is very divergent, and it is not surprising to talk about strange fields.
Chen Song continued, "Besides, what can we talk about if we don’t talk about science? Where did Sun study? "

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