Time Travel: 2014

Chapter 315 Standing on the shoulders of giants

In Lin Hui's experience, a river that has flown backward once is already considered a miracle.

Lin Hui felt that he would never have the chance to encounter such an experience again.

After rebirth, Lin Hui's time is the same as anyone else in this time and space.

Every second that passes will never come back.

Under such circumstances, Lin Hui cherished every minute and every second.

Although this kind of life is very busy, Lin Hui enjoys it.

Compared with those empty years in his previous life, Lin Hui felt extremely happy now with his fulfilling life.

Moreover, Lin Hui believed that he was not busy for no reason.

Lin Hui believes that as he becomes busy, many people will become busy as well.

And if they want to achieve the same results as Lin Hui, these people may have to pay ten times or even a hundred times as much as Lin Hui.

Why do you say this way?

Because Lin Hui is a reborn person, Lin Hui has a lot of knowledge in his mind that others do not have.

In the case of seven or more years of information advantage.

At this time, Lin Hui was extremely noble.

In other words, Lin Hui is now standing on the shoulders of giants.

By standing on the shoulders of giants and working hard, Lin Hui can reach the stars more easily than other people of his generation.

In addition, standing on the shoulders of giants, Lin Hui can see further than others.

It is also about moving forward. Others may explore forward like a blind man feeling an elephant, but Lin Hui can move forward at a leisurely pace.

Let’s still take automatic text summarization as an example.

Researchers at this time and space may only be limited to text summarization when dealing with automatic text summarization problems.

But Lin Hui wanted more.

With the continuous iteration of text summarization, people will put forward higher requirements for the accuracy of summarization.

The higher requirements for the accuracy of text summarization will also lead to higher-level requirements for neural network learning.

And upcoming breakthroughs in neural networks will give rise to the rise of artificial intelligence.

The rise of artificial intelligence with neural networks as its core may lead to biological progress.

Neural networks seem to be computer research, but they are actually not pure.

The development of neural networks benefited from breakthroughs in biology.

Research on neural networks will feed back into biology.

Although these may still be a bit far away.

But this is the future.

Whoever discerns the opportunities of the future will ultimately win.

In short, Lin Hui, who stands on the shoulders of giants, believes that he has the ability to influence the world easily.

Doesn't Lin Hui's previous work on the generative summary algorithm, which invisibly mobilized the busyness of many scientific research institutions in the world, illustrate this situation?

One person's busyness makes a group of people have to be busier and pay more.

What would this phenomenon be called in the language of the previous life?

Yes, that's right, it's "volume".

In previous lives, computer industry rolls were the norm.

Even after his rebirth, Lin Hui unconsciously brought over some habits from his previous life.

Although it was just an unintentional move, he was a reborn person after all.

If the reborn person is not the king of rolls, should he take the lead and lie down?

Sooner or later, Lin Hui will kill all the potential hostile forces in this time and space.

…

At 3 o'clock in the morning on the 26th BJ time, Lin Hui was busy.

There were many people chasing Lin Hui behind Lin Hui.

Of course, although there are many people chasing him.

But there are many who are lost, and there are also many who feel despair when they see the gap.

It's exactly 11 a.m. in California.

Many researchers are still busy in the NOTEXIST research laboratory on the campus of Stanford University in California.

But not everyone is busy.

There are also fishermen.

Looking at the time on the watch, it was almost noon.

Dr. Eclair Kilcarga is ready to leave work at 1 o'clock.

Working hard is the most important thing.

It is impossible to roll the roll, it is completely unnecessary.

The key is that it can't be rolled at all.

Ever since LIN HUI introduced the generative text summarization algorithm.

Dr. Eclair Kilcarga and his team have recently been following up on this technology together with the team of Professor Jules in the Department of Mathematics at Princeton University.

At the beginning, the entire team was still very ambitious.

But interest quickly faded.

The reason for the initial smugness was that Dr. Eclair Kilcaja and his team discovered the direction of long-term and short-term neural networks.

Dr. Eclair Kilcarga and his team once thought this direction was the right research direction.

Compared with ordinary recurrent neural networks, the long-short-term neural network is not sensitive to the length of gaps in the text when applied.

Long Short-Term Memory Neural Networks This category of neural networks performs well in processing longer sequences.

It is precisely because the characteristics of the long short-term memory neural network are consistent with some of the characteristics of the practical application of the generative summary algorithm made by LIN HUI.

At that time, Dr. Eclair Kilcarga and his team thought they had found the right direction.

After recent algorithm tracking research on LIN HUI.

Dr. Eclair Kilcarga and his team found that although their guess was right, it wasn't entirely right.

LIN HUI even uses long and short-term memory neural networks in generative text summarization.

But it is definitely not a very superficial application of the most basic long and short-term memory neural network.

The high probability that LIN HUI is used in the algorithm is a more special neural network that relies on certain modifications of the long-short-term memory neural network.

Although it is unclear what type of modification is applied to LIN HUI.

But it must have been modified.

As for what was modified, it's hard to say.

What one person hides may not be found by ten thousand people.

Similar reasoning, although LIN HUI may only be slightly modified.

What exactly this change entailed was impossible for Dr. Eclair Kilcarga and his team to figure out in a short period of time.

The only thing that can be understood is that LIN HUI uses an extremely clever application of long short-term memory neural network.

Just very helpless.

As the research deepens, there is some progress.

But the problem is that what you gain is not only progress, but also a better understanding of your opponents.

I haven’t discovered much about the true meaning of technology.

On the contrary, they fully realized the power of LIN HUI technology.