Crossover: 2014
Chapter 86 Leading the United States
Chapter 86 Leading the United States
After submitting a software patent application in China.
Lin Hui started to apply for a US patent.
Under this time and space, it seems that various countries can apply at the same time.
Instead of first applying for a Chinese patent as in the previous life,
Then you can apply for patents in other countries or regions.
Lin Hui felt that the patent application in the United States was more urgent than the domestic patent application.
In 14, many Internet companies in China are still busy making money.
How can I have free time to touch porcelain with Lin Hui?
Specific to the patent application in the United States, the situation is somewhat different from that in China.
In the United States, it is easy to dispute the patent application of software.
Of course, software patent applications in the United States are basically uncontroversial.
However, there are still many controversies concerning the software patent applications of other countries or regions in the United States.
To put it bluntly, it is a typical double standard dog.
In order to avoid controversy, Lin Hui decided to directly apply for a patent on the algorithm itself.
Rather, patenting a series of steps in an algorithm.
Under U.S. patent law, an algorithm is considered a series of mathematical steps and procedures.
Patent applications involving algorithms are relatively less troublesome.
When applying for a patent, Lin Hui did not apply for a patent for the extraction/generation news summary algorithm.
Lin Hui only needs to be on his "original" part:
— A patent application for a generative news summarization algorithm would suffice.
If you can't chew too much, if Lin Hui has a big package, the extractive summary algorithm will also be included.
It is likely to be involved in patent disputes.
After all, patents related to extractive summarization algorithms are mainly in the hands of Americans.
That is likely to lose his wife and lose his army.
And patenting only generative summarization algorithms is enough.
Although the generative summary algorithm in Nanfeng APP still has various problems.
You cannot stand alone.
But now the generative summary algorithm in Nanfeng APP can only be regarded as the second generation of generative summary algorithm.
A little lameness is also normal.
In fact, when the generative summary algorithm develops to the third generation, it can completely throw off the extractive summary algorithm and fly solo.
And the generative summary algorithm also has the third generation of forest gray.
As for why not take it out?
No way, too advanced.
At least it is too advanced for people in this time and space.
If the extractive news summary is the first generation.
(The first generation of the generative summary algorithm is about the 1.5th generation)
Then the second generation of generative summary algorithm is undoubtedly the second generation.
The extractive/generative compound summary algorithm is probably the 2.5th generation
The third generation of the generative summary algorithm is basically the third generation.
It would be excusable to be a generation and a half ahead.
But it seems unreasonable to directly lead two generations.
But that's just before.
If once the patent application for the second generation of generative abstraction is successfully passed.
It didn't take long for Lin Hui to "reasonably" come up with the third generation of the generative summary algorithm.
In terms of technology, if you want to lead, you must lead the United States!
In terms of patent application steps, Lin Hui did not narrowly name the patent as a generative news summary algorithm.
Instead, it is directly named generative text summarization algorithm.
Although Lin Hui's algorithm is mainly used as a news summary.
But that doesn't mean it can't handle other forms of text.
Such as blogging, chatting, reporting, etc., the algorithm can also handle it.
Due to its specialization, the algorithm is not as good at processing other types of text as it is at processing news.
But it is not important.
A good patent does not lie in how difficult the technology is.
Rather, it lies in how broad the scope of its claims covers.
In this time and space, whether it is China or the United States.
When applying for a software patent, it is not necessary to disclose all the detailed technical content.
It only needs to clarify the technical route and verify it with the actual effect of the algorithm.
It is also because of this that the technical content of the patent declaration and so on can be settled without much effort.
But that doesn't mean everything is over.
Lin Hui found a legal team with a fairly good rating on the same website as the outsourcing website to conduct related consultations.
As for why you need legal advice when applying for a patent.
This is an essential process.
It may not be so troublesome at home.
But in the United States, when it comes to complex intellectual property matters, it is a dream not to deal with the legal team.
What's more, the so-called patents are legal documents disguised as technology.
(End of this chapter)
After submitting a software patent application in China.
Lin Hui started to apply for a US patent.
Under this time and space, it seems that various countries can apply at the same time.
Instead of first applying for a Chinese patent as in the previous life,
Then you can apply for patents in other countries or regions.
Lin Hui felt that the patent application in the United States was more urgent than the domestic patent application.
In 14, many Internet companies in China are still busy making money.
How can I have free time to touch porcelain with Lin Hui?
Specific to the patent application in the United States, the situation is somewhat different from that in China.
In the United States, it is easy to dispute the patent application of software.
Of course, software patent applications in the United States are basically uncontroversial.
However, there are still many controversies concerning the software patent applications of other countries or regions in the United States.
To put it bluntly, it is a typical double standard dog.
In order to avoid controversy, Lin Hui decided to directly apply for a patent on the algorithm itself.
Rather, patenting a series of steps in an algorithm.
Under U.S. patent law, an algorithm is considered a series of mathematical steps and procedures.
Patent applications involving algorithms are relatively less troublesome.
When applying for a patent, Lin Hui did not apply for a patent for the extraction/generation news summary algorithm.
Lin Hui only needs to be on his "original" part:
— A patent application for a generative news summarization algorithm would suffice.
If you can't chew too much, if Lin Hui has a big package, the extractive summary algorithm will also be included.
It is likely to be involved in patent disputes.
After all, patents related to extractive summarization algorithms are mainly in the hands of Americans.
That is likely to lose his wife and lose his army.
And patenting only generative summarization algorithms is enough.
Although the generative summary algorithm in Nanfeng APP still has various problems.
You cannot stand alone.
But now the generative summary algorithm in Nanfeng APP can only be regarded as the second generation of generative summary algorithm.
A little lameness is also normal.
In fact, when the generative summary algorithm develops to the third generation, it can completely throw off the extractive summary algorithm and fly solo.
And the generative summary algorithm also has the third generation of forest gray.
As for why not take it out?
No way, too advanced.
At least it is too advanced for people in this time and space.
If the extractive news summary is the first generation.
(The first generation of the generative summary algorithm is about the 1.5th generation)
Then the second generation of generative summary algorithm is undoubtedly the second generation.
The extractive/generative compound summary algorithm is probably the 2.5th generation
The third generation of the generative summary algorithm is basically the third generation.
It would be excusable to be a generation and a half ahead.
But it seems unreasonable to directly lead two generations.
But that's just before.
If once the patent application for the second generation of generative abstraction is successfully passed.
It didn't take long for Lin Hui to "reasonably" come up with the third generation of the generative summary algorithm.
In terms of technology, if you want to lead, you must lead the United States!
In terms of patent application steps, Lin Hui did not narrowly name the patent as a generative news summary algorithm.
Instead, it is directly named generative text summarization algorithm.
Although Lin Hui's algorithm is mainly used as a news summary.
But that doesn't mean it can't handle other forms of text.
Such as blogging, chatting, reporting, etc., the algorithm can also handle it.
Due to its specialization, the algorithm is not as good at processing other types of text as it is at processing news.
But it is not important.
A good patent does not lie in how difficult the technology is.
Rather, it lies in how broad the scope of its claims covers.
In this time and space, whether it is China or the United States.
When applying for a software patent, it is not necessary to disclose all the detailed technical content.
It only needs to clarify the technical route and verify it with the actual effect of the algorithm.
It is also because of this that the technical content of the patent declaration and so on can be settled without much effort.
But that doesn't mean everything is over.
Lin Hui found a legal team with a fairly good rating on the same website as the outsourcing website to conduct related consultations.
As for why you need legal advice when applying for a patent.
This is an essential process.
It may not be so troublesome at home.
But in the United States, when it comes to complex intellectual property matters, it is a dream not to deal with the legal team.
What's more, the so-called patents are legal documents disguised as technology.
(End of this chapter)
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