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AI learning
  1. The start in 1960
  2. The big fight between machines and humanity in 1997
  3. Improvement of machine learning
  4. Summary

The start in 1960

In 1960, scientists wanted to know how the brain worked so they studied the cells to understand how they functioned.

And here they started to create something called Neural network. Thus, they created a thing called preceptor – a computer that studied exactly like the brain.

It was able to tell the difference between squares and triangles. However, it seems pretty easy today, but the fact that this computer was trying and learning from its mistakes was unbelievable. Just like a baby, it wasn’t taught anything particular, but it was taught how to learn.

The big fight between machines and humanity in 1997

In 1997, one of the most important matches happened in human history. Garry Kasparov is one of the greatest chess players in history. Kasparov isn’t an ordinary man. In 1978, he was the youngest player to reach the chess championship of the Soviet Union. He was 15 years old.


Garry Kasparov

In 1983, he got the second place and he was 19 years old. The 1st was the legendary Karpov.

In 1984, Kasparov became the first in the world.

In 1985, Kasparov became the youngest legend in the world and hold the record for many years.

Why am I mentioning all that information about Kasparov? Kasparov’s history is honorable.

That’s why, if anyone could represent humanity in front of a huge 2-meter height machine that had a great ability of 2 million calculations per second, it’s was Kasparov.

The contest was between Garry Kasparov and a computer made by IBM called Deep Blue.

To be honest, this was the most important match in the Humanity history.

Deep Blue, a 2-ton machine, was made especially to play Chess. It was supposed to be easy for the machine to play chess with a brain of only 2-kilo weight. In addition, it was not made only for playing chess, it did hundreds of different things.

The comparison might seem unfair. But this was not the first match; IBM had lost before to Kasparov. However, he amazed the world and saved the image of humanity in front of the human’s inventions. In spite of the fact that expectations were very high.

Computer playnig chess

Having learned from their mistakes of the last match, IBM engineers hoped that Deep Blue could defeat Kasparov and become the first computer in the history to beat the Chess legend Kasparov. The most important legend in the history of chess.

The First match of the 6 matches Kasparov won easily and it gave him so much self-confidence he started to feel that he knew how the computer was thinking?

But everything changed during the 2nd Match. Kasparov though that he understood the way the computer played. As the computer had a certain way of playing: whenever it got a chance to take down, it never wasted it. So Kasparov started to make traps to make the computer lose.

But once, with a very shocking movement from the computer, Deep Blue decided not to take down. The Action was very rational: imagine you are hungry and you have an apple, but rather than eating it, you wait for the lunch and eat it after lunch. And this only move paralyzed Kasparov’s mind. For the next 4 matches.

As Kasparov said: “this movement no one can do, it belongs to humans.” It is the human weakest point – “Psychological Factor”.

Our brain is powerful, but sometimes it slows itself down.

Kasparov did not only feel that he was facing a computer with a predictable ability up to 78 future movements but 8 engineers changing the code every match. Also he thought there was a chess player helping them.

Kasparov wasn’t able to focus. He had draw in 3 matches and lost the last match. It was the first time in Kasparov’s career to lose a match in less than 19 movements. And the humanity lost with him.

The humanity with the Intelligence created an intelligence defeating their intelligence. How stupid!

So, if he defeated the best chess player, why didn’t he defeat the best scientists, the best engineers, the best doctors, and even the best artists?

machine learning

This event may not be Fresh.

What can our devices do today?

Improvement of machine learning

In 2005

Google Translate studied more than 200 billion words from the United Nations documents that were translated.

In 2009

The science magazine stated that a group of scientists created a machine that worked out Newton’s law.

In 2012

240 companies received 750 million dollars to create a lawyer. Not exactly a lawyer. But today there are some robots able to do some of the lawyers’ job which is very difficult to do.

With Artificial Intelligence, some devices were able to scan for an important paper and an unimportant one in the case. The study was made in North Carolina.

Current technology can do 13% of lawyers’ work, and in some tasks reaches 96%.

In 2016

a company called Deep mind created a device that defeated the world champion in the game called Go. It has more movements than chess.

It was a historical moment, just like the Kasparov’s match.

In 2016

a group of scientists created a device that was able to remark an experiment that got the Nobel Prize in 2001. It recreated the experiment that won Nobel Prize in one hour.

Even artists were affected by artificial intelligence. For example, some paintings were created by the Artist “the Painting fool” and looked like works of Salvador Dali and Rene Magritte, who worked in the Surrealism manner, and Pablo Picasso, the main representative of Cubism.

The Neural network, that was elaborated by Google, established a school and called it Inceptionism, a new art – a way to describe different forms of what people see.

There are programs that create music and publish it on the internet.

Summary

The summary is that we are either very smart or very stupid. We created devices way more intelligent than us. The question is will these devices be able to take our jobs? Leave us without jobs.

Or it might be worse; they might rebel upon us and ask for their rights. They might do what we do to the animals, because they are less intelligent than we are, and that’s what helps us to control them.

Well, we don’t know, but we are in control somehow. If I can give some advice to you (and I don’t like to advise), I would say ‘be lazy’ – why do you need to do things while you can program a robot to do it for you.

machine and people

Now it’s your turn: What do you think? Will we become slaves for the machines someday?

As we saw in many movies. Or is it hard?

Leave your opinion in a comment.

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