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| Artificial Intelligence and Machine Learning |
Artificial intelligence: This is the most important topic right now and in the future.
Artificial Intelligence We call that the machine is correct. The intellect is the ability to learn and use what you've learned. Machine learning is the sum of all the machine learning that has been done. AI is the one to learn and use with each other.
In movies and science fiction, we see robots get very strong. Kill all the people. Some robots help people with their jobs. The robots' brains are made of artificial intelligence. Without AI, robots are just like common inorganic substances. Not that artificial intelligence needs robots. There are a lot of apps on our smartphones that make us feel close to people in a fake way.
Steps to Artificial Intelligence.
Programs that use AI can be broken down into three steps.
ANI, which stands for Artificial Narrow Intelligence or Weak AI ANI programs, are experts in a particular task. Since the program can play chess, that's what you should do. If he works somewhere else, he can't do anything else. As if he could play Ludu, but he can't. The program will look like you because that's how they look for younger kids who can do hard things.
AGI or Artificial General Intelligence
I: AGI is the second step in the process of making machines more intelligent. Strong AI or Human-Level AI is what people call it. At this point, the computer can think like a human, plan like a human, and solve the problem. It will also be able to adapt to a new environment just by looking at it.
The third step in artificial intelligence is ASI or Artificial Super Intelligence. Artificial superintelligence is what we'll call it when computers are smarter than people. Researchers are now worried about what would happen if the artificial superintelligence system was made and whether or not it would be good or bad for humans.
Scientists worry a lot about whether or not we will be able to handle Artificial Super Intelligence when we get there. After we get to ASI, everything will change, whether we live or die. How can all the world's forces be used to get rid of it? Maybe it won't be hard to get to other planets from Earth. The world can change.
Where are we in the process?
We are still in the phase of narrow artificial intelligence. All of the ANI programs which we use or use. Google Search Engine, Self-Driving Car, Flight Control, Nuclear Project Control, and other complicated systems. They know how to do a certain job well. They can't do anything else besides that job.
Our achievements:
Deep Blue, a chess program made by IBM, lost to a Grandmaster in 1997, which was a very smart show. Artificial Intelligence did a great job with that.
In March of this year, the board game World Championship was lost by the AlphaGo program. This is a much more significant accomplishment than the first. Because there are about 25 basic moves that can be used to get from one position to the next in chess. There are 200 moves in Gu Go. People may think that it is easy for the computer to move, but it is not. The game of chess is also a logical one. Only logic can play. But the point of the game is to play smart. People have to think the way they do.
Watson, IBM:
In 2011, IBM Watson also lost two winners of the popular quiz show Jeopardy.
So far, IBM Watson is the smartest program that has done well. It starts out by asking questions to find answers to. Two people who were born to win Jeopardy are starting to lose their way. Now, you can use IBM Watson in many places. This program can be used in many places, such as for data analysis, teaching, medical care, and so on. IBM Watson has helped doctors figure out how to treat cancer. Also, about 90% of the work that Lange Cancer nurses do is based on what IBM Watson says they should do. The best thing about this program is that it gets better the more people use it.
With the Watson API, anyone can make software that works well. But not for nothing!
Assistant to the CEO:
We have a science fiction story about a personal assistant, but now many tasks can be done with them. You will answer any of them if you ask. You can talk to the computer with products like the Amazon Echo or Google Home. as much as we've seen in science fiction movies. Even though these things have been in stories before, they are now real.
Honey-made Robot:
Humanity Robot tells us that robots in movies are just like people. The Honda ASIMO Robot is the best robot that people have made so far. Also, Boston is working with military-grade robots that can change quickly. Their robots can do a lot of work. NAO stands for Open Humanoid Robot for All. It can be set up. You can buy it by putting your own changes on it. If you set up a program like IBM Watson, Google will work the same way as Amazon Echo or Google Home.
Self-Building Robot:
Most interesting robots are ones that put themselves together. Those who saw the movie Big Hero saw the microbots. Small robots. Which one side can hold any shape? After seeing the movie a few days ago, I can see that the work is being done on a robot like that. And have done well and have. The Self Assembly Lab at MIT is making these kinds of robots. And made great microbes.
When nanotechnology improves a lot, this robot that puts itself together will be able to fix any disease in the human body. Virus virus? Microorganisms get into the blood cells and kill the viruses. There won't be anything to say about the disease.
Robots in Industry:
Not that robots will look just like humans. Robots can look like anything. Robots do a lot of work in the business world. A robot does work on everything from making cars to making chips or processors for mobile phones.
Computers that learn:
We just used ANI to solve a lot of problems. We made our lives a lot easier. We don't tell these ANI programs what to do when we make them. We give some examples. The program then made an algorithm based on that example. Then it would be best if you did the work yourself, which is the next step. This is what machine learning means.
All of the programs or robots I talked about a while ago can learn on their own. For the next two or three years, all machine learning software and apps will be used.
Premise:
Many of the premise apps have been used by us. Those who didn't use it at least got to see pictures made with it. Why are the beautiful pictures beautiful works of art? This app is built around a Deep Neural Network. What is a machine learning method? We need to use machine learning to do great things now.
The job market for machine learning:
Work up After the skill index shares every four months. Machine learning is now the most sought-after skill. Machine learning is important not just for the future but also for the present.
Where do you learn?
There are many things to find online. The site I like the most is Uydashi. There are free resources as well as resources that cost money. Get Awab Awesome Artificial Intelligence and Awesome Machine Learning are the names of two projects. There is a list of all the information about AI and machine learning. If you think that sounds easy, you can start there.