Time Travel: 2014

Although research involving artificial intelligence has a long history in previous lives.

But when did artificial intelligence explode in popularity?

It seems to be after 2016.

In March 2016, AlphaGo and Go world champion and professional 9-dan Go player Lee Sedol competed in a human-machine battle and won with a total score of 4 to 1.

After this, artificial intelligence suddenly became famous.

Can something related to Go become a breakthrough point in artificial intelligence?

It sounds like Go and artificial intelligence are incomparable.

Why did a human-machine battle in Go set off artificial intelligence?

This may have something to do with the mechanics of Go.

Go has always been considered one of the most complex board games in the world.

But the basic rules of Go are simple.

The Go board is square and consists of 19 vertical and horizontal lines.

19╳19 forms 361 intersection points (hereinafter referred to as points), chess pieces can be placed on these points, and can be placed at any point on the sides, corners, or midsection.

When playing chess, the chess pieces must be placed at the intersections of the chessboard. After the chess pieces are placed on the chessboard, they cannot move.

Black plays first, then Black plays next, and White plays next, until the end, whichever side occupies more territory wins.

Of course, different countries have different rules on how to measure the amount of territory occupied.

Although the rules of Go are simple, this does not prevent the game from being ever-changing.

It is said that there are more possible changes in a game of Go than there are total atoms in the universe.

In this case, it is unrealistic for the computer to exhaustively calculate all possible changes in a game.

If the program wants to achieve higher efficiency, it can only make a fuss about the algorithm.

However, even using algorithms, when it comes to Go:

It's much harder for a computer to win at Go than it is at games like chess.

Because Go has so many playing points and far more branching factors than other games.

Moreover, the quality of the situation is erratic every time he makes a move.

In this case, traditional algorithms are difficult to work.

Not to mention traditional algorithms, even general artificial intelligence methods are difficult to work.

Traditional artificial intelligence methods such as brute force search, Alpha-beta pruning, and heuristic search are not very effective in Go.

It is precisely because of the difficulties at the technical level.

Although in the previous life in 1997, artificial intelligence defeated top human chess players.

But when it comes to Go, artificial intelligence has been failing.

Go has never been conquered by artificial intelligence, and has long been known as the commanding heights of the human mind.

However, the purpose of the commanding heights is to be conquered.

In his previous life, he defeated the top player in chess 18 years later.

Artificial intelligence defeated Li, a ninth-level Go master from Universe Kingdom, for the first time in Go.

This incident was also interpreted in previous lives as "In any single field, machines may be far ahead of humans."

Although there is no way to judge whether this statement is correct or not.

But it is undeniable that the concept of "artificial intelligence" suddenly became popular after the man-machine battle between Lee Sedol and AlphaGo.

The impact of this battle is not limited to the small circle studying artificial intelligence.

Instead, it has aroused great discussion about artificial intelligence throughout society.

Anyway, Lin Hui remembered that in March 2016 in his previous life, news and Weibo were full of AlphaGo and artificial intelligence.

Some are discussing technology, some are looking forward to the future, and some are preparing to end their business after seeing business opportunities...

Of course, the possibility of something working behind all this hubbub cannot be ruled out.

After all, as far as Lin Hui knows, Go is actually mainly circulated in East Asia and is not highly circulated around the world.

And even in places like China, island countries, and space countries, the circulation of Go is still good.

The proportion of Go enthusiasts among ordinary people is not too high.

Even if some people understand the rules a little bit, they can't explain it clearly when it comes to slightly more troublesome things such as tribulations.

Lin Hui is considered a fan of Go, although he has never determined a level.

But I know a lot about Go I, probably at the level of Ye Wu.

Even so, Lin Hui never claimed to be good at Go.

After all, when faced with a real professional ninth-dan player, a professional fifth player will generally lose 2 to 6 pieces.

In this case, the concept of "artificial intelligence" can become popular with the help of "Go".

It's hard to say that no one is behind this.

But these ins and outs are not what Lin Hui cares about.

Since the human-machine war in Go in the previous life can become a breakthrough point for artificial intelligence.

Then this space-time Lin Hui can completely create a program similar to AlphaGo and find ways to promote human-machine battles.

After that, proper operation will make this incident a breaking point for artificial intelligence.

Involving AlphaGo.

In its previous life, AlphaGo was launched by deepmind, a Chinese company.

Although the company deepmind also exists in this time and space.

But Lin Hui doesn’t have to worry about crashing a car or anything.

Although the birth of AlphaGo in the previous life is inextricably linked to the company DeepMind.

But the project involving AlphaGo was actually started after DeepMind was acquired by Google.

In short, the birth of AlphaGo in the previous life has a lot to do with the py transaction between deepmind and Google/Google.

However, in this time and space, Google and deepmind have not cooperated on this project.

And there is a high probability that there will be no chance for cooperation in the future.

Lin Hui had known about it before.

A company called deepmind does exist in this time and space.

But because of this time and space, the overall research on artificial intelligence lags behind.

Although the company DeepMind is also engaged in artificial intelligence research.

But there has been little progress.

And deepmind is not doing very well as a company.

The company recently attempted to file for bankruptcy protection.

It is basically impossible for such a company to achieve the achievements of its previous life.

In this case, the overall research on spatiotemporal artificial intelligence lags behind.

If Lin Hui wants to transport AlphaGo, he basically doesn’t have to worry about the risk of a technical crash.

Although there is no risk, the transportation of AlphaGo is a little troublesome.

It’s not that there’s any trouble with the technical theory.

Although people in this time and space have not yet mastered the corresponding technology.

But for Lin Hui, the technical and theoretical path is very clear.

Classic artificial intelligence applications like AlphaGo.

Basically, nine out of ten people engaged in artificial intelligence have specifically studied what AlphaGo is.

Technology involving AlphaGo:

It is nothing more than a simple application of Monte Carlo tree search combined with two deep neural networks.

Monte Carlo tree search is a heuristic search algorithm used in certain decision-making processes, most notably for use in games.

Especially common in board games.

Specifically, there are two deep neural networks, one of which is a valuation network and the other is a chess-playing network.

The former is used to evaluate a more suitable placement point, and the chess moving network is used to adjust the best placement position.