Artificial intelligence is what its applications are in our daily lives and deep learning ?

Artificial intelligence, of course many of us may have heard or read somewhere accidentally or intentionally about so-called artificial intelligence or AI and certainly too many of us have seen movies the scientific imagination in which the machines appear as if they have a desire and a mind of their own and they want to separate their own lives away from the control of human beings, but For this realism, can machines actually be autonomous if the stages of artificial intelligence reach advanced stages?

What and how and when it started and how it works and what types and how can the chosen intelligence be aware of the surrounding factors? All these and other questions will try in a simplistic way without going into deep details to interpret it and clarify what artificial intelligence and what applications we are already using in our daily lives...

Since its inception in 1956, artificial intelligence is known as the intelligence that the machines and software show, which simulates human intellectual abilities and their working patterns., such as the ability to learn, conclude and react to situations not programmed in the machine, and a name for an academic field that means how to make computers and software capable of Take intelligent behavior, the top researchers know artificial intelligence as "studying and designing intelligent systems that accommodate their environment and take actions that increase the chances of success", while John McCarthy--who put this term in 1955--knows him as "science and engineering making intelligent machines."

Many believe that philosophy is the main factor on which artificial intelligence relies on understanding and analyzing things and making appropriate decisions based on so, the American scientist David Deutsch admitted that philosophy holds the solution to reach a stage of artificial intelligence that simulates the one that is present in the human mind or What is known as AGI, which some see is far from reality for the time being and for years to come because modern science has not reached a complete understanding of how it works the human mind with all the technological development that is currently present, others reject the idea of the great evolution of artificial intelligence and see that it must stand at a certain limit even to A cause of danger to the human race.

In December December 2014, renowned physicist Stephen Hawking pointed out that the development of full artificial intelligence could pave the way for the annihilation of the human race, warning of the ability the machines re-engineered itself as the founder and former president of Microsoft Bill Gates announced last year his desire to remain Robots are rather stupid, "I'm in a camp of anxiety about superintelligence," in contrast some experts see that artificial intelligence techniques you will not cause any risks to the human race, including the professor of computer science at the University of Montreal, Canada, Osh Pingio, who believes that it should not Smart intentions, they need for many years of slow and progressive development before they reach the extent that analysts fear, because they are based on science and ideas that are still in their infancy.

Pingio asserts that access to artificial intelligence in its expected form would not be surprising, that is, not as some look like to discover a miraculous magical recipe in his words., the production of integrated artificial intelligence systems still requires the development of current science and the creation of new science, that is, in other words, no one scientists will come out With a smart technique that will change the world overnight, as in sci-fi movies.

Google and Facebook are also considered to be leading companies in the field of artificial intelligence, as the company uses them for example in their widely researched engines to be reached for more accurate search results, search for images as Android phone can understand user orders, and instant translations of phrases written in a foreign language On the banners in the streets and others, as for Facebook, deep learning allows the social network to find out the faces in the photos, choose the right content and view it to the user on the latest news page, and other posts.

Many of us also have heard about so-called deep learning or automated intelligence what are they?

Simply in terms of the definition of concepts, artificial intelligence (AI) is the general concept that covers everything that has to do with photographing machines to become a level of "intelligence" that simulates the unique thinking of man.

Automated learning is a sub-field of artificial intelligence that means supplying the machines with the ability to "learn". This is achieved by using algorithms that discover patterns of data and information that are exposed to the machine for future application and decision-making and predictions, a process that allows programmers to avoid the need to program these machines for all possible possibilities.

Deep Learning (Deep learning), on the other hand, is a subdomain of automated learning, and we can say that it is the most advanced domain of areas of artificial intelligence, an area approaching artificial intelligence to the goal of empowering machines of learning and thinking like humans.

I. Learning Automation

Is the living embodiment of artificial intelligence on the ground, including limiting or minimizing the need for manual programming of the machine and putting many and many possibilities to deal with both orders individually and throughout the years from 1949 until late 1960, American electrical engineer Arthur Samuel worked to develop intelligence Artificial from just interacting with the possibilities to the learning phase of the experiment, making it a pioneer in the field. Use Checkers to search it while working with IBM, and subsequent to the programming of IBM's early computers, the current applications are becoming more and more sophisticated, which has made the technology become a complex medical application, an example of which is the analysis of large genome collections Try to prevent diseases, diagnose depression based on speech patterns, and identify people who suffer suicidal tendencies.

Secondly, what is deep learning (Deep learn)

With progress in higher and more sophisticated levels of automated learning, a so-called deep learning has been reached, which requires a complex structure to imitate the networks neurological in the human brain in order to understand different patterns and behaviours and their dimensions in normal situations or even with different sources of confusion such as having Noise, or the existence of missing details, and its other sources of confusion, but since deep learning needs data and possibilities are very large and wide-ranging, it needs a tremendous power of computing, and the need for this is growing with the advent of big data or huge data just as the child teaches the letters configured for language and numbers so that it can form patterns of words the computer needs raw data that enables it to understand the relationship between things.

Google experience and Deep Learning journey

In 2012, when scientists from Google X built neural networks of 16,000 processors with 1 billion links and made it browse YouTube, Google Brain or Google's brain is exposed to 100 million static pictures of YouTube videos Discover the brain of its own that many repetitive patterns and are as expected human faces and AGSA M human and unexpected cats!? , the results were triggered by jokes on journalists and public opinion but on the other hand it was the beginning of a new era of applications learn deeply from facial and voice recognition and learn about the patterns that humans recognize instinctual.

How Deep Learning Works

When the computer started to appear in the 1950s, the enthusiasm was great among the artificial intelligence community, and the advent of human intellect or artificial intelligence was about appearing but the fact that this was far from the way you think about the real world especially in things like making a computer recognize a picture on It's a human image, not a mask, for example. The traditional way of doing this is by supplying the computer with all the qualities necessary to make the computer recognize the image of man, for example, takes a long time and a great effort to introduce all of these features of the human face, for example, what scientists have been invited to think of a better way.

Therefore, in the 1980s the neural networks or Neural networks appeared to be a better way to learn deep because of the ability of these systems to learn the rules special from scratch, it uses a method similar to the human brain function through layers of neurons, when a picture of such a system is exposed. Notice each layer of a particular style in the image, for example, the first layer may notice the border of the image and another layer notes the eye in the middle of the head, which is found in humans was not performance the first for this system is better than the existing systems but the evolution so we got now is that most of the big apps are using it and we'll review this application together Khat

Deep Learning Apps

This technology is now used in many areas of communications, banking, bio-medicine, drug detection, genetic footprint and access to new pharmaceuticals, computers and the internet for Spam, image search and voice search services. And others, Google relies on this method in the Android speech recognition system and achieved a 25% reduction in speech recognition errors and after great success for this technique in identifying images and words, Google seeks to apply this technique understanding human language enough to rephrase the sentences and can be used In Google Translate, also auto-driving applications.

It also enabled Google to learn deep from marketing ads to and from other major companies in information technology such as Microsoft Office and Facebook in investing in this technique, Biolugen and researchers from MIT use this technique to analyze the three-dimensional nature of the brain The human being to identify the neural connections also uses the technique to recognize amino acids and to predict the protein structure of the University of Washington.

Companies are racing heavily to uncover more deep learning applications and artificial intelligence especially the graphic processing companies where they have proven their superior ability to excellence in this area, also noteworthy is that the applications of artificial intelligence in its various forms and its multiple stages continue to evolve And getting into our daily life apps is something, and we can see it in the way our phones deal with things or in artificial intelligence software in our phones, for example, such as Apple's Siri application, Samsung's Bixby, Alexa or even Google Search Voice, and more. Computers for modern cars using artificial intelligence applications to know the atmosphere or discover the roads or the amount of fuel remaining and what a distance that a car can walk based on the current driving method of the car, or even artificial intelligence applications in video games, all of these Applications and many others are really a product of the scientific progress of the so-called artificial intelligence...

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