"I am a PhD student who started out in computer programming." Ye Hua came to the console and called up the floating holographic screen: "It is true that what the brain does does not necessarily apply to computers, because the 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 be able to build a bridge hub from some commonalities between the two.”
In this regard, the Edwards were unconvinced. Neuroscience is really a too vast subject.
There are many levels, macroscopic scale, mesoscopic scale, microscopic scale, and the connection between each level is often very complicated and difficult to connect with each other. Many times, we have learned macroscopic neural theory, but we cannot use it to simulate cognitive functions.
, you need the knowledge of microscopic neuron networks, and after learning the knowledge of neuron networks, you can't, but you also need some knowledge of the complex operations of synapses and dendrites, which you can't finish no matter how much you study.
Although the two of them are authoritative researchers in this field, everyone involved in this subject is in awe and humility.
It can be said that human beings’ knowledge of their own brains and neural networks is not as rich as their knowledge of the universe. Among all human organs, the brain is the most mysterious area. Even authoritative experts in this field can only
I dare say that I have only scratched the surface of it, or even less.
"It is a typical NPC problem based on chaotic neural network." Ms. Maibritt said, which means that it has no solution, at least for now. The "chaos" here is not a mythical novel.
That kind of definition, but for the phenomenon of chaos, there is still no generally accepted mathematical definition that is universally applicable.
"What if I tell you two that I have successfully reduced an NPC problem to a P-type problem?"
Ye Hua suddenly said such a sentence, and upon hearing this, the faces of the couple changed drastically, with incredibly wonderful expressions.
"What did you say?" Edward Moser held his head and exaggerated: "God, the p=np problem has been solved?"
Although the two couples are not mathematicians, scholars in the computer field or information experts, these fields are deeply related to neuroscience.
They are naturally familiar with the p=np? problem, that is, the np-complete problem. Although they are not experts in information science, their knowledge of this problem is much higher than that of ordinary people.
np-complete problem, it can be said that the answer to this kind of problem can only be obtained after exhausting all 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 in polynomial time to become the problem that needs to be proved. Then all the problems to be 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 hitherto unsolved problems will be solved, such as human protein folding problems, terminal diseases, and of course neuroscience. No wonder the couple is so out of control.
It is really because of the existence of the npc problem that p=np becomes unbelievable. Even if it has not been proven or falsified so far, people are more inclined to believe that p≠np.
However, Ye Hua just said personally that he reduced an NPC problem to a P-type problem!!!
"Oh my god..."
The two of them never expected to receive such explosive news just after they came to China. If this got out, the entire academic world and even the whole world would be excited about it.
This can no longer be described as genius.
After the shock, the couple were excited and inexplicably excited. When Ye Hua saw them, he said calmly: "I said before that I started out as a programmer. I achieved success by reducing NPC problems to P-type problems.
A brand new algorithm. But doctor, it is not a truly universal algorithm, because there are np-hard problems on top of it, which you should also know."
"Even so, its contribution is immeasurable, and it will bring unimaginable benefits to the research of neuroscience." Edward Moser said excitedly.
"Teacher, you have only taught us the p=np problem before, but what is the np-hard problem?" Lorentis, who had always been quiet, couldn't help but ask at this time.
Ms. Maibritt looked at her and gave a brief summary with a smile: "That is to say, the np-hard problem has a wider scope than the npc problem. The np-hard problem is also difficult to find a polynomial algorithm, but it is not included in p=np
research scope, because it is not necessarily an np problem. Even if a polynomial-level algorithm is discovered for the npc problem, the np-hard problem may still not be able to obtain a polynomial-level algorithm. In fact, it may be more time complex than all npc problems
Higher and thus more difficult to solve.”
Laurentis seemed to understand but not understand, thoughtfully.
Edward Moser said with a hint of excitement: "Sometimes, we have to admit that the human brain is very powerful. It can analyze external data and draw conclusions within milliseconds, but how such a huge system works still remains
Unknown, but many researchers have tried to obtain more information from brain waves. So, can artificial intelligence learn something from our brain network?"
At this point, Edward subconsciously raised his head and looked at Ye Hua. The young Chinese in front of him, the president of Coastline University, has a decisive say in the field of AI.
Ye Hua nodded: "The answer is yes. In terms of processing information, especially noise information, the brain has some processing methods that computers can learn from."
Coastline Group's artificial intelligence technology is recognized as the best in the world, and Ye Hua's voice in this field can be said to be very authoritative.
Moreover, the outside world doesn't even know that he created Xiaoyin, a higher-level intelligent being.
Edward Moser flipped through the information in his mind: "The grid cells that Britt and I studied at the Norwegian University of Science and Technology found that these nerve cells can be activated by specific spatial patterns, and then form a coordinated system to trigger spatial movement, plus
"There are cells on the brain that can recognize head direction and room boundaries, and together they form a circuit in the hippocampus of the brain, ultimately forming a widespread positioning system in the brain similar to GPS."
"The connections between neurons in the brain allow us to read useful information from noisy data. Because neural networks are dynamically plastic, they can learn autonomously from existing experience and change the connections between cells. Today's artificial intelligence
Neural networks imitate the connections between biological nerve cells."
As he spoke, Edward looked at Ye Hua again: "There is no doubt that the key to research is that there are many neurons in the brain, and they 'communicate' with each other. When neurons stimulate axons, they will produce '
To communicate information, outside the head, we record the potential activity of brain waves. This is a way of observing brain waves, so we need to decipher the pattern of information transmission between them. This pattern appears as brain waves. If we can have
If an algorithm obtains the solution to these 'communicated' information... wouldn't it be possible to achieve brain-computer interaction?"
"God, it is such an honor for me to come to Shoreline University. This is a very wise choice. We are willing to join the bci project plan, join now!!!"
