{"id":1813,"date":"2020-08-04T04:29:12","date_gmt":"2020-08-04T04:29:12","guid":{"rendered":"https:\/\/technonguide.com\/?p=1813"},"modified":"2023-10-18T19:18:03","modified_gmt":"2023-10-18T13:48:03","slug":"what-is-artificial-intelligence-ai-definition-of-the-concept-in-simple-words","status":"publish","type":"post","link":"https:\/\/technonguide.com\/what-is-artificial-intelligence-ai-definition-of-the-concept-in-simple-words\/","title":{"rendered":"What is Artificial Intelligence (AI)? – Definition of the concept in simple words"},"content":{"rendered":"

Artificial intelligence is the ability to execute activities typically associated with intelligent beings in a digital machine or human-controlled system. This concept is also applied to the initiative to build structures that are fitted with logical mechanisms, such as the ability to analyze, generalize, or benefit from previous experience.<\/p>\n

Moreover, the interpretation of the AI framework is limited to the explanation of a whole host of related technologies and procedures, such as machine learning, virtual agents, and expert systems. Simply put, AI is a rough neuronal projection in the cortex. Signals are transmitted from neuron to neuron and, finally, are output – a numerical, categorical, or generative result is obtained. This can be illustrated with the following example.<\/p>\n

The first layer will classify the general gradients that determine the overall structure of the cat because the device takes the pictures of a cat and is conditioned to know whether or not the cat is a cat. On the next line, bigger objects like ears and mouths may be marked. In the third layer, small objects are identified (like a mustache). Finally, the software can generate “yes” or “no” depending on this knowledge and state whether or not it is an animal. It is not important for the programmer to inform the neurons that these are the functions that they will search for. The AI taught them all on their own, learning with and without cats in several videos. In the third layer, small objects are identified (like a mustache). Finally, based on this information, the program will output “yes” or “no” to tell if it is a cat or not.<\/p>\n

The programmer does not have to say that these are the functions he will try. The AI taught them on its own and practiced them with and without cats on several pictures. The third layer describes smaller objects (for example, mustache). Finally, the software will emit “yes” or “no,” depending on this information, to say whether it is or is not a cat. The programmer does not have to say that these are the functions he will try. The AI taught them on its own and practiced them with and without cats on several pictures.<\/p>\n

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