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Monday, May 21, 2018

A Brief Introduction to Artificial Intelligence

As we all know that Siri, Google Now and Cortana are smart personal digital assistants on different platforms (iOS, Android and Windows Mobile). In short, they help you find useful information when you ask if you should use your voice. Can you say "Where is the nearest Indian restaurant?", "What's on my agenda today?", "Remember to call me Mom or Dad at 8am" and The Assistant answers information, sends information from your phone or sends Commands to other applications.

AI is important in these applications because it collects information about your requests and uses that information to better understand your language and deliver results that are tailored to your preferences. Microsoft always says that Cortana "constantly learns about its user" and will eventually develop the ability to anticipate user needs. Virtual Personal Assistants process a large amount of data from multiple sources to better understand users and help them organize and track their information.

Your smartphone, calculator, computer game, car, bank, and home use artificial intelligence every day. Sometimes it is obvious what he does, for example when you ask Siri to take you to the nearest gas station. Sometimes it is less obvious, for example, if you make an unusual purchase on your credit card and do not receive a scam from your bank. AI is everywhere and makes a big difference in our lives every day.

Therefore, we can say that Artificial Intelligence (AI) is the branch of computer science that focuses on the development of intelligence machines that think and work like humans. For example, speech recognition, problem solving, learning and planning. Nowadays, artificial intelligence is a very popular topic that is much discussed in the tech and business scene. Many industries and expert analysts say that AI or machine learning is the future, but when we look around, we are convinced that this is not the future, but the present.

Yes, the technology is in its infancy and more and more companies are investing resources in machine learning, suggesting solid growth of AI products and applications. Artificial intelligence or artificial intelligence is the process simulation of human intelligence through machines, especially computer systems.

What is the benefit of AI?

Image processing systems. The need to fully understand and understand visual information on the computer, ie AI is used to interpret and understand an image: industrial use, military use, interpretation of satellite imagery.

What is the purpose of AI?

As AI researchers began to achieve the goal of artificial intelligence, one of the main interests in human thought was ... Specific functions programmed for a computer can accommodate many of the requirements that enable them to conform to human intelligence

What is an artificial intelligence ASI?

A superintelligence is a hypothetical agent who has an intelligence far superior to that of the brightest and most talented human minds.

What is the goal of the AI?

Colloquially, the term "artificial intelligence" is used when a machine mimics "cognitive" functions that connect people to other human minds, such as "learning" and "solving problems." General intelligence is one of the area's long-term goals.

What are the different types of AI?

We must overcome the boundaries that define the four different types of artificial intelligence, the barriers that separate machines and separate us.

Type I AI: reactive machines

Type II AI: limited memory

Type III AI: Theory of Mind

AI Type IV: Self-confidence

Is Computer Vision part of the AI?

Artificial intelligence as well as computer vision share other topics such as pattern recognition and learning techniques. Therefore, artificial vision is sometimes considered as part of the field of artificial intelligence, or more generally in the field of information technology.

Is Machine Learning the Same as Artificial Intelligence?

Increasingly, machine learning (ML) and artificial intelligence (AI) are developing as solutions for data management.