Artificial intelligence has started to be discussed both in the world and in our country recently. Some anticipate that artificial intelligence will reduce manpower, therefore lead to unemployment, while others will create great opportunities. So what is this artificial intelligence?
Artificial intelligence; is a set of software and hardware systems with many capabilities such as human behavior, numerical logic, motion, speech and sound perception. In other words, artificial intelligence; makes computers think like humans.
When the question X is directed to artificial intelligence, it selects and presents the most rational among the answers to the question X given or defined before. For this reason, when question X comes, artificial intelligence filters the answers of question X and presents the most rational one. Artificial intelligence does more than the question of X today.
It would be wrong to consider artificial intelligence under a single title. Concepts such as machine learning (machine learning), deep learning (deep learning) are inclusive terms that make up artificial intelligence.
To understand the difference between artificial intelligence, machine learning, and deep learning terms, it is useful to examine the chronological order below.
What is Machine Learning?
As can be seen in the chronological order, Machine learning, which is a branch of artificial intelligence, is also another sub-branch of artificial intelligence that includes Deep learning. So, what is this Machine learning? What does it do?
Machine learning is the algorithms that enable the machine to derive logical and rational results with the data provided. An algorithm is written about the shopping receipt data of the customers. This algorithm; It gives the information that the customers who bought chips also bought coke. Based on this situation, chips shelves and coke cabinets are brought closer to each other and sales are increasing. In another example, Grape will be introduced to the algorithm. the algorithm; Features such as white, purple and round are defined. When Grape and Banana ask Machine learning, she decides which one is Grape by filtering the information and adopting the rationality principle. In this example, we have discussed machine learning in its simplest form. Machine learning provides us with information that will push the limits of mind in today's technologies.
What is Deep Learning?
Deep learning is a technology that will be seen in chronological order and is the sub-branch of both Artificial Intelligence and Machine learning. What is this Deep learning? What does it do?
Deep learning and Machine learning are very similar structures. Deep learning works like neurons in our brains. Let's reveal the concept of deep learning with the example of grapes.
While we introduce the properties of grapes in machine learning, it creates its own rules in deep learning; He can distinguish which is banana and which is grape by his own processes.
One of the best examples of the algorithm's self-learning, developing and presenting the information it learned is Google Translate; There is deep learning behind this service, which translates in more than 100 languages.
Application Fields of Artificial Intelligence
The most important application areas of artificial intelligence are as follows
Natural language processing
Voice recognition; Voice recognition technology has leveled up today; Artificial intelligence has not only recognized the sound, but has reached the level of understanding and responding to the sound. It is not easy for the computer to recognize the sound, transform the sounds into letters, understand and respond to the letters. Voice recognition technology is not only used in siri, cortana or other virtual assistants, which are also available on our smartphones. It is possible to see products about voice recognition technology at every point of our lives.
Image processing; Image processing is used in many points of our life. In order for the driverless vehicles to move more safely, they need to understand their surroundings. Pixels turn into code thanks to image processing. A driverless vehicle that understands people, animals, traffic lights, warning signs and acts accordingly is one of the best examples of image processing.
Natural language processing; As in other artificial intelligence application areas, there are many subtitles and usage areas in natural language processing. In its simplest example, search algorithms are developed in search engines like Google with sentences like "Did you mean?" It is also useful to remind that more is done than the search engine example.
Reasoning;First of all, it is useful to define the reasoning. Reasoning: "Making a judgment by listening to two sides with arguments against each other, judging." Artificial intelligence is also one of the most difficult areas of reasoning. It is very important that the artificial intelligence created filters out a few events and makes the most logical and rational decision. For example; In a case, it is up to the judge's ability to judge to distinguish the criminal from the innocent. Here, the evidence of artificial intelligence and the ability to reason by filtering the event can distinguish the criminal and the innocent.
The Future of Artificial Intelligence
There are many theories about the future of artificial intelligence. These theories, which are mostly the subject of movies; It extends to discussions involving CEOs of today's giant companies.
Tesla founder and CEO Elon Musk; He stated that he was concerned about the developments in artificial intelligence. Despite his negative opinions, Musk, who has negative opinions about artificial intelligence, introduced Tesla Model S, which has been a self-driving vehicle in the past months.
Famous physicist Stephen Hawking said: "Artificial intelligence will be the last discovery of humanity." He implied that artificial intelligence would bring the end of humanity.
Facebook founder Mark Zuckerberg said; "My views on this matter are very clear. I am optimistic. I do not understand the philanthropists and the apocalypse scenario. I find it really negative and in some ways irresponsible." contrary to all negative views, he emphasized that he regarded the future of artificial intelligence positively. The response to Mark Zuckerberg, who criticized the managers who had negative opinions about artificial intelligence, was included in the delayed discussion Elon Musk.
Elon Musk, who responded to the connection of a follower about this speech; "I talked about this with Mark. He doesn't quite understand it." he said.