Vol 3 Chapter 578: : Universal Algorithm?

"I started as a doctor in computer programming." Ye Hua came to the console and called up a floating holographic screen. "Of course, what the brain does may not apply to computers, because these two are completely different individuals, but We are not trying to integrate the two perfectly. We can allow the differences between the two, but we may be able to build a bridge hub for them from some commonalities. "
In this regard, the Edwards and his wife made no reservations about the fact that neuroscience is a too large subject.
There are many levels, macro-scale, mesoscopic-scale, micro-scale, and the connections between each level are often complex and difficult to interconnect with each other. Many times I have learned the macro-neural theory, but I cannot use it to simulate cognitive functions. You need the knowledge of the microscopic neuron network, but after you have learned the knowledge of the neuron network, you can't. You also need some knowledge of the complex operations of synapses and dendrites.
Although the two of them are authoritative research scholars in the field, everyone involved in this subject is awed and humbled by this subject.
It can be said that human beings' cognition of their own brains and neural networks is not as rich as that of the universe. The brain is the most mysterious area in the recognition of all human organs. Even the authoritative experts in this field are only Dare to say that I know a little of it, even less.
"Only based on chaotic neural networks is a typical npc problem." Ms. Mai Britt said, meaning that there is no solution, at least for now, and the "chaos" here is not a myth. The definition here, but there is no universally accepted mathematical definition of chaos.
"If, I tell the two, I have successfully reduced an npc problem to a p-type problem?"
Ye Hua suddenly throws out such a sentence, the couple looked at each other with a big change in their faces, with an incredible expression.
"What did you say?" Edward Moser held his head exaggerated. "God, the p = np problem has been solved?"
Although these two couples are not mathematicians, nor computer scholars or information experts, these fields are deeply related to neuroscience.
As for the "p = np?" Problem, that is, the np complete problem, they are naturally no strangers. Although they are not experts in informatics, their knowledge of this problem is much higher than ordinary people.
np is a complete problem. It can be considered that this kind of problem can only be answered after exhausting 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 to a problem that needs to be proved after polynomial time changes. Then all the proved problems are an npc problem.
In other words, once an algorithm is found, all problems can be solved with polynomials. It can be said that this is the so-called "universal algorithm".
This is undoubtedly the pinnacle of informatics.
This is not only as simple as the contribution to informatics. Many problems that have not been solved so far will be solved, such as the problem of human protein folding, terminal illness, and of course, including neuroscience. No wonder the couple will be so ill.
It is because of the existence of the npc problem that p = np becomes unbelievable. Even if people have not proved or falsified yet, they are more inclined to believe that p ≠ np.
However, Ye Hua just said that he reduced an npc problem to a p-type problem !!!
"Oh my ..."
The two absolutely did not expect that they had just received such an explosive news as soon as they came to Huaxia. If it were to spread, the entire academic community and the world would have to boil it.
This can no longer be described by genius.
After the shock, the couple was excited and inexplicable. Ye Hua saw the two of them and said calmly, "I said before that I started from programming. The result of reducing the npc problem to the p-type problem is to obtain a Brand new algorithm. But PhD, it is not a true universal algorithm, because there is an "nphard problem" on top of it, compared to what you should know. "
"Even so, its contribution is inestimable, and research on neuroscience will bring unimaginable benefits," said Edward Moser exhilaratingly.
"Teacher, you only told us the p = np question, but what is the" nphard question "? "Lorantis, who had been quiet, couldn't help asking questions at this time.
Ms. May Britt looked at her with a brief overview of smiles. "That is to say, the nphard problem is wider than the npc problem. The nphard problem is also difficult to find polynomial algorithms, but it is not included in the study of" p = np " Category, because it is not necessarily an np problem. Even if the npc problem finds a polynomial-level algorithm, the nphard problem may still not get a polynomial-level algorithm. In fact, it may be more time-consuming and difficult to solve than all npc problems. "
Lorantis seemed to understand, thoughtfully.
Edward Moseryu said with a hint of excitement, "Sometimes, we have to admit that the human brain is very strong. It can analyze external data within milliseconds and draw conclusions, but how such a huge system works still remains. Unknown, but there have been many research scholars trying to get more information from brain waves. So, can artificial intelligence learn something from our brain network? "
Speaking of which, Edward looked up at Ye Hua subconsciously. In front of this young Chinese man, the president of Coastline University, has a decisive right to speak in the field of AI.
Ye Hua nodded. "The answer is yes. In terms of processing information, especially noise information, there are some processing methods of the brain that computers can learn from."
Coastline Group's artificial intelligence technology is recognized as the best in the world. Ye Hua's right to speak in this field can be said to be very authoritative.
Moreover, the outside world did not even know that he had created a more advanced intelligent existence-Xiaoyin.
Edward Moser flipped through his head with the message "Brit and I studied grid cells at the Norwegian University of Science and Technology and found that these neural cells can be activated by specific spatial patterns ~ EbookFREE.me ~ and then form a coordinated system, Triggering spatial movements, coupled with cells that can recognize head orientation and room boundaries, together form a loop in the hippocampus of the brain, eventually forming a broad positioning system similar to GPS in the brain. "
"The connections between neurons in the brain allow us to read useful information from noisy data, because neural networks are dynamically plastic, and they can learn independently from existing experience and change the connections between cells. Neural networks mimic the connections between biological nerve cells. "
Speaking of Edward, he looked at Ye Hua again. "There is no doubt that the key to the research is that there are many neurons in the brain. They will 'communicate' with each other. When neurons stimulate axons, they will 'communicate'. 'Information, outside the head, we record the potential activity of brain waves. This is a way to observe brain waves, so we need to crack the mode of information transmission between them. This mode is presented as brain waves. If there is a The algorithm gets the solution to this 'communication' information ... can't brain-computer interaction be achieved? "
"God, it ’s a great honour to come to Coastline University. This is an extremely wise choice. We are willing to join the bci project plan and join now !!!"
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