Time Travel: 2014

Why use this design?

In fact, it is not difficult to understand that the strategies adopted by II researchers in the new era when it comes to research on artificial intelligence are basically more biased towards biology than biology.

The reason for adopting the previous design is largely inspired by human chess players playing chess.

When human chess players play chess, usually, they first roughly judge where to play without losing money based on past experience and chess records.

After narrowing the search scope, chess players will conduct detailed deductions for a certain local position.

As for the deduction, chess players mainly think about how they will make moves and how their opponents will react after making the moves.

Generally speaking, excellent chess players should have this kind of deduction ability.

Only by taking a step and seeing a dozen or even dozens of moves can you become a Go master.

The strength of computing power is an important indicator to measure the mid-game ability of chess players.

As for the purpose of deduction, it is to find the most beneficial landing point for you.

To sum up, an excellent chess player must have the following abilities:

First, judge the possible actions based on the situation;

Then judge whether the situation is beneficial to you;

Then deduce the situation to find the best landing point.

Although artificial intelligence seems to be a knowledge about machines.

But in fact, researchers are trying to make machines think like humans.

The logic of AlphaGo's operation is essentially very close to the way human chess players think.

In short, the technical implementation related to AlphaGo is actually not very complicated.

The technical aspects are very clear.

But it is still very troublesome to implement it in detail.

The first is that it involves a lot of underlying technology.

This time and space is short-legged because of artificial intelligence.

Many theoretical things still need to be built from scratch.

In other words, Lin Hui wants to re-detonate the hot spot of artificial intelligence.

There is a high probability that you will need to move bricks across time and space, and transfer theoretical knowledge on artificial intelligence in various ways.

As for the specific transportation, we still need to figure out the technical route.

Although this job is a little troublesome, fortunately, Lin Hui now has an academic tool.

On the technical level, except for artificial intelligence.

Some other technical aspects are also needed.

In the previous life, in the first generation of AlphaGo, Google not only applied its achievements in artificial intelligence.

Some research results on distributed systems are also applied.

In computer science, distributed computing is also translated as distributed computing.

A distributed system is a system formed by a group of computers that are connected to each other through a network to transmit messages and communicate and coordinate their actions.

Although programs like AlphaGo do not rely on distributed computing, they still have good performance.

However, distributed computing is often more efficient than traditional computing.

It's a bit difficult to deal with distributed Shenma.

Lin Hui had never done anything similar in his previous life.

However, Lin Hui recently saw that Google and the Department of Mathematics of Princeton University seemed to have mentioned something related to distribution in a journal on collaborative summary algorithms.

If this is true, it is not impossible to fool around with some things related to distributed technology.

In addition, AlphaGo also involves more troublesome training.

If only to avoid trouble.

There is no need for Lin Hui to keep an eye on AlphaGo.

In the past life, there was not only AlphaGo.

After AlphaGo, there is master, and after master, there is Alpha_Zero.

If AlphaGo has ever lost to humans.

Alpha_Zero is completely in the air every second of the day.

Lin Hui remembered a set of data he had seen in his previous life.

The Alpha_Zero algorithm only needed 8 hours of training to defeat Lee Sedol's version of "AlphaGo".

According to this statement, it means that the training cost of Alpha_Zero is much lower than that of AlphaGo.

Compared with its predecessor AlphaGo, Alpha_Zero has many unique features.

Although this technology is very powerful, there is actually a technical generation gap between Alpha_Zero and AlphaGo.

If you want to create Alpha_Zero, from a logical level you still have to create AlphaGo first.

Under this situation, Lin Hui felt that it would be better for the technology to respect the objective laws of development.

It may not be a good thing if you really want to do it all in one step.

It’s pretty good to think of AlphaGo as a breakthrough point in artificial intelligence.

Speaking of which, Lin Hui should have thought of Alpha Dog.

Lin Hui remembered the two sentences he posted on Weibo angrily when he first registered Weibo:

——"Excellent skills are like a king, and there are few in the world; there are no idlers like me in the world."

It has a very close relationship with Goose Factory’s Go AI.

If Lin Hui had thought of this earlier, he would have thought of Alpha Dog soon.

Even though this has been thought of.

But the actual reproduction of AlphaGo is still very difficult.

The biggest difficulty seems to be at the hardware level.

If these two technologies, AlphaGo and alphaZero, are to be launched, they will also need deep learning framework and hardware support.

Both AlphaGo and alphazZro involve the TensorFlow deep learning framework proposed by Google/Google in the previous life.

For this deep learning framework in the previous life, Google also developed the tensor processor in 2016.

The tensor processor (TPU) is a dedicated chip customized by Google for machine learning.

It’s so outrageous, it’s hard to describe domestic chips.

Abroad, both humans and ghosts are showing off.

People who seem to have nothing to do with chips are also working on chips.

Speaking of which, Lin Hui remembers some of the rough specifications of the first generation TPU.

Although I don't remember it all.

But Lin Hui still vaguely remembers that the first generation TPU was made using a 28nm process.

Although from Lin Hui’s perspective, the 28nm process is a bit rough.

But you must know that the chip process on iPhone5s is only 28nm at this time.

That sucks.

In other words, even if Lin Hui can produce TPU, the cost will most likely remain high.

Although Lin Hui can directly use the computer he brought from his previous life to run the model.

But personal computers will eventually limit the performance of some AI programs.

Even if the full performance of AI could be unleashed on a personal computer, Lin Hui would not be able to face the world with the technology from the next seven years.

Hey, it’s difficult.

Despite all the troubles.

But asking questions is more important than solving them.

As long as your thinking doesn't slip, there are always more solutions than problems.

Compared to this era, people are still groping forward in the dark.

Lin Hui at least knows how to solve problems and the difficulties faced in solving them.

On this point, I have the definite advantage!

It involves the use of the most advanced technological processes of the era.

It seems inevitable that it will involve cooperation with Waiguo.

A certain Semiconductor Manufacturing Co., Ltd. seems to be looking at Wai Guoren’s face.

Why does Waiguo use this kind of technical capital to "enemy" it?

It sounds like it would be a good idea to set up a crooked endorsement company.

After all, there is a nest of crooked nuts, snakes and rats.

Faced with the same Waiguo company's chip manufacturers, it seems that they will not be too wary.

Waiguo Company?

Lin Hui suddenly thought of deepmind.

Since the time and space of deepmind is so miserable.

It seems good to acquire this company.

Thinking about a company that is about to file for bankruptcy protection shouldn’t be very expensive, right?

The more Lin Hui thought about it, the more reasonable it became.