The usage areas of artificial intelligence technology continue to expand. We met a long time ago with artificial intelligence that can take pictures for us and respond to incoming messages for us, but this kind of artificial intelligence does not make our life easier at high levels doesn’t surprise us much as it doesn’t offer incredible features.
The reason is very easy. We can fulfill these missions ourselves, so artificial intelligences such as Siri and Google Assistant do not attract our attention. As usual, this also has a game dimension. Artificial intelligence developed for playing games attracts our attention, as they offer us a much different effort than Siri. and long-term efforts in the hope of defeating him.
You’ve heard of artificial intelligence technologies that are impossible to beat, that beat even the most successful players. What makes these so special is that they too thinking about the next move just like you, they have the potential to make the decision just as you do.
Deep Blue vs. World Chess Champion Garry Kasparov
The unbeatable artificial intelligence technology rush was IBM’s first development for chess tournaments, Deep Blue. Deep Blue, which could not provide the performance IBM wanted at first, when it faced the World Chess Champion Garry Kasparov in 1996-1997. lost in three of the five matches and drew in two remained.
After this defeat, IBM continued to develop Deep Blue and a new race was held a year later. Next is Deep Blue, because he doesn’t want to waste time thinking too much wanted to attack quickly, but this attack was pretty awesome for the course of the game.
Not realizing the mistake Deep Blue made, Karparov said that the reason behind the artificial intelligence making this move is, interpreted the next attacks as advanced anticipation and fearing defeat withdrawal from the race received.
Although Deep Blue is successful, technology developing over time, IBM to shelve this artificial intelligence caused. Deep Blue, one of the first invincibles of his kind with his chess attacks, is currently on display at the Computer History Museum in the USA.
Developed again by IBM, Watson crushes everyone in the question-answer race.
Two executives of IBM at lunch Jeopardy! The most successful name of the general culture race named While talking about the achievements of Ken Jennings, he decided to develop an artificial intelligence technology that could beat him in this competition.
This artificial intelligence, named after the founder of IBM, Thomas J. Watson, began to be designed in 2005 and made its reputation all over the world with the competition that took place in 2011. announced.
Watson answered Ken Jennings and Brad Rutter in a question-and-answer match and answered questions one by one. A prize of $77kwon. Then, one of the precious names of the US congress, Rush D. Hold Jr. and Watson, who competed against Bill Cassidy, managed to beat this duo.
Watson did not end up in Deep Blue. IBM later named Watson “Watson Text to Speech” and “Watson Natural Language Classifier”. decision to convert to some advertising artifacts got it.
DeepMind managed to perform at an advanced level in all Atari games
DeepMind is not an artificial intelligence designed only on a single game like Watson and Deep Blue. On the contrary, the company called DeepMind Technologies laid the first foundations of what is today called general artificial intelligence. To beat DeepMind in a random Atari game designed.
DeepMind was taught to get the highest score it could get from the games using the information on the screen. Designed in 2013, this artificial intelligence managed to achieve advanced performance in all games in Atari, and not only broke records to date, but also managed to beat human opponents in games such as Quake without any problems. DeepMind company was acquired by Google in 2014, following the success of gamer artificial intelligence.
AlphaGo against Lee Sedol, the world’s most successful Go player
The group, which designed Deep Blue against Gary Kasparov in 1996, in 2016 with its most advanced technologies. can rival Lee Sedol, the most successful Go player in the world designed an artificial intelligence.
The work of this artificial intelligence, called AlphaGo, was quite difficult compared to its previous examples, because different strategies have to be produced for each situation in the Go game, and different paths have to be followed. Opinion against AlphaGo, which has millions of reference options, was that it could not strive against Lee Sedol. In fact, Lee Ha-jin, Secretary General of the International Go Federation, It will not be possible to design an AI player equivalent to Lee Sedol. had stated.
As expected, AlphaGo started the first set of their match against Lee Sedol with a win. Sedol, a professional Go player, Only got the fourth set against AlphaGo and stated that he wanted to start the 5th set with black pieces to confuse the AI. That didn’t work either, and AlphaGo took the last set. defeated Sedol 4-1.
Even though Sedol is number one on Go in 2019 stating that artificial intelligence is an invincible entityprofessional Go announced that he was leaving his life.
There is a good fit; AlphaZero Masters puts AlphaGo at the top
Designed in 2017, AlphaZero Masters is an enhanced version of AlphaGo and its target is in the games of chess, Go and Shogi (a version of chess played in Japan). first place was to play.
AlphaZero not only defeated its brother AlphaGo, but also overthrew the computer games developed for it one by one. This artificial intelligence can be used in chess after 9 hours of training, in Shogi after 2 hours of training, and finally in Go after 34 hours of training. to master it completely succeeded.
AlphaStar joins esports
After chess, Go and Shobi, another area where artificial intelligence has made a place for itself was e-sports. AlphaStar, designed to take the lead in Blizzard’s strategy game Starcraft II, will soon be available to Starcraft players. proved to be better than 99.8%.
AlphaStar is one of the most complex artificial intelligence gamers ever designed. After all, his aim is not to take steps by assuming the next breakthroughs in chess, but High rank in a challenging game like Starcraft IIplay.
Omron’s table tennis player “Forpheus” debuted at CES 2019
We are used to the player artificial intelligence making breakthroughs on the computer, but at CES 2019, Omron introduced it. The table tennis robot named Forpheus added a whole new dimension to the event.
Forpheus, which has a 5-axis arm and a racket fixed to this arm, can move flexibly and quickly thanks to its landscape recognition and advanced technology, and can make unpretentious attacks just like its opponent.
Although the working principle of Forpheus seems easy, this player robot processes dozens of data into the system after each attack. These data, which are processed very quickly through sensors and cameras, by analyzing the places where the ball fell and met Allows Forpheus to leap like his opponent.
Forpheus is not completely invincible now, the developers at Omron have soon implemented this gamer AI that they introduced in 2019. to approach a professional table tennis player by 48% has succeeded.