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It's really a turn of wind and water, the Chinese scholars in the past also had this expression.
It’s okay for me to be beautiful. Under the pressure of the Future Technology Group, I frantically increased investment in the field of scientific research, and the European side basically gave up treatment. A large number of European talents either went to North America or to China. Come.
Future Technology Group now has a large number of top European scholars joining. Needless to say, the lineup is luxurious, because there are better treatment, better funding, and better laboratories here.
"Please allow me to introduce you." Li Linfei said after a while. When Edward Moser and his wife followed the sound and looked back, Li Linfei pointed to Lorendis beside him, and added with a smile: "Luo Landis Landis Ross, my junior."
"Hello, Professor Edward, hello, Professor May Britt." Lorendis immediately greeted with a sweet and polite smile.
Edward and Mai Britt looked at Lorendis suspiciously, wondering what Li Linfei meant by introducing his junior?
"Doctor, Lorendis not only has excellent grades since she was a child, but also has an extraordinary talent in memory. She can never forget." Li Linfei said with a smile as if seeing the doubts of the two.
"Have a photographic memory?" Hearing this, the couple couldn't help but looked at Lorantis again in surprise.
Li Linfei nodded: "Yes, doctor. Neurobiology is one of the frontiers of development in the field of life sciences, and you are an authority in this field. I hope you can become her mentor. Of course, she is an expert in the field of structural biology." The grades are also very good, and Professor Oren Drake was also her tutor in Europe before."
Top scholars like Oren Drake and Nobel Prize-winning scientists like Edward Moser generally rarely bring students.
Lorendis alone, not counting Li Linfei's senior tutor, can also have three great god-level tutors. In his academic history, she is currently the only one who can enjoy this treatment.
It is undeniable that her talent is a very important aspect, but the aspect of her relationship with Li Linfei cannot be ignored.
Well, to put it bluntly, Lorendis is a related family, but she is talented, and she is still a related family, which is really fatal.
Edward Moser, an expert in neurobiology and an authoritative expert in the field of human brain research, learned that she had such an amazing talent in memory, and immediately became interested in this young student.
For Li Linfei's request, he naturally agreed without hesitation.
Even without Li Linfei's request, she might be recruited as a research assistant in the team formed in the future.
Li Linfei then said: "To be honest, Doctor, Future Technology is currently developing the bci project, and we urgently need the two of you to join."
Li Linfei is not hypocritical, the couple must be impatient to prepare for their own research.
bci?
Edward and his wife are not unfamiliar with this term at all. After all, they are both research scholars who have devoted their lives to the field of neurobiology. It is absolutely impossible for BCI technology to be separated from the research of neural networks and human brain.
When it came to academic issues, Edward immediately became active.
"I have some understanding of bci technology. Our thinking comes from the brain, we can think, we have ideas, emotions, thoughts, feelings... But the key is how do we understand our way of thinking, so that we can understand our brains , it’s very complicated...our brains have roughly 1000 billion neurons, and each neuron has 1 connections.”
Li Linfei said as he came to the console and called up the floating holographic screen: "It is true that what the brain does does not necessarily apply to the computer, because these two are completely different individuals."
"But we don't want to perfectly integrate the two. We can allow the differences between the two, but we may build a bridge hub from some of the commonalities between the two."
In this regard, the Edwards are noncommittal, neuroscience is really too large a subject.
There are many levels, such as macro scale, meso scale, and micro scale, and the connection between each level is often very complicated, and it is difficult to connect with each other.
Many times you have learned the macroscopic neural theory, but you cannot use it to simulate cognitive functions. You need the knowledge of the microscopic neuron network, but after learning the knowledge of the neuron network, you can’t, and you need some complex operations on synapses and dendrites. Knowledge, no amount of research can be done.
Although the two are leading research scholars in the field, everyone who dabbles in this discipline is awed and humbled by it.
It can be said that human beings' cognition of their own brain and neural network is not as rich as that of the universe. In terms of cognition of all human organs, the brain is the most mysterious area.
Even the authoritative experts in this field dare to say that they only know a little bit of it, or even less.
"Just based on chaotic neural network is a typical npc problem." Ms. Mai Britt said.
It means that this is unsolvable, at least for now. The "chaos" here is not the kind of definition in mythological novels, but for the phenomenon of chaos, so far, there is no generally accepted mathematical definition that is generally applicable.
"What if I tell the two of you that I have successfully reduced an npc problem to a p-type problem?" Li Linfei suddenly threw out such a sentence, and the couple's expressions changed drastically when they heard it, with incredible and wonderful expressions .
"What did you say?"
Edward Moser held his head in an exaggerated manner: "God, has the p=np problem been solved?"
Although the two couples are not mathematicians, nor are they scholars or information experts in the field of computing, but these fields are deeply related to neuroscience.
They are naturally not unfamiliar with the "p=np?" problem, that is, the np-complete problem. Although they are not experts in informatics, their understanding of this problem is much higher than that of ordinary people.
The first thousand and 760 chapters and five are too knowledgeable, no problem
np=Complete problem, it can be considered that this kind of problem can only solve all possible universally applicable mathematical definitions in the domain.
"What if I tell the two of you that I have successfully reduced an npc problem to a p-type problem?" Li Linfei suddenly threw out such a sentence, and the couple's expressions changed drastically when they heard it, with incredible and wonderful expressions .
"What did you say?"
Edward Moser held his head in an exaggerated manner: "God, has the p=np problem been solved?"
Although the two couples are not mathematicians, nor are they scholars or information experts in the field of computing, but these fields are deeply related to neuroscience.
They are naturally not unfamiliar with the "p=np?" problem, that is, the np-complete problem. Although they are not experts in informatics, their understanding of this problem is much higher than that of ordinary people.
The np-complete problem can be considered as such. The answer to this kind of problem can only be obtained after exhaustively enumerating all the possibilities in the solution domain. This kind of problem is the most difficult in np.
If you want to prove that a problem is an npc problem, you can take a problem that is already an npc problem and change it into a problem that needs to be proved after a polynomial time change, then all the problems that are proved are an npc problem.
In other words, if an algorithm is found, then all problems can have polynomial solutions. It can be said that this is the so-called universal algorithm.
This is undoubtedly the pinnacle of informatics. This is not only a simple contribution to informatics, but many problems that have not been solved until now will be easily solved.
For example, human protein folding problems, terminal illness, and of course neuroscience, it is no wonder that the couple lost their composure.
It is really because of the existence of the npc problem that p=np has become unbelievable. Even though people have not proved or falsified it so far, they are more inclined to believe that p≠np.
However, Li Linfei just said that an npc problem has been reduced to a p-type problem!
"My God..." The two of them absolutely never thought that they would get such an explosive news just after they came to China. If it got out, the entire academic circle and even the whole world would be overwhelmed by it.
This can no longer be described as a genius. After the shock, the couple were very excited and inexplicably excited.
Seeing the two of them, Li Linfei said calmly: "As I said before, I started out as a programmer. The result of reducing the npc problem to the p-type problem is to obtain a brand new algorithm."
"But doctor, it is not really a universal algorithm, because there are "np-hard problems" on top of it, as you should know. "
"Even so, its contribution is immeasurable, and it will bring unimaginable benefits to neuroscience research." Edward Moser said excitedly.
"Teacher, you only told us the p=np problem before, but what is the "np-hard problem"? "Lorantis, who has always been quiet, couldn't help asking at this time.
Ms. Mai Britt looked at her, and briefly summarized with a smile: "That is to say, the scope of np-hard problems is wider than that of npc problems."
"The np-hard problem is also difficult to find a polynomial algorithm, but it is not included in the research category of "p=np", because it is not necessarily an np problem.Even if the npc problem finds a polynomial-level algorithm, the np-hard problem may still not be able to obtain a polynomial-level algorithm. "
"In fact, it's likely to have higher time complexity and thus be harder to solve than all npc problems."