What Is (AI) Artificial Intelligence?
Progress in automatic learning and artificial intelligence in five areas will make it easier to make data-driven decisions, discover, analyze, analyze, predict and predict ideas that can be identified, predict critical help opportunities, probable fraudulent transactions, and more. Artificial intelligence is a collection of many different technologies that work together to enable machines to see, understand, act and learn different things from people.
It is often referred to as the capacity of a computer or a machine to imitate the capacity of the human mind to learn from examples and experiences, recognize, understand, and respond to language, decisions, and solve problems and combine these and other skills.
Cognitive Computer and Artificial Intelligence The provisions of artificial intelligence and cognitive computer are sometimes used interchangeably, but in general, the term AI is used to refer to machines that replace human intelligence, when we simulate, learn, learn, process and respond to Information in the area. Artificial intelligence systems can include anything from a knowledgeable system, a problem-solving program that makes decisions based on complex or logical rules, then something like the equivalent of the fictitious character Pixar Wall-e., Computer
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It is an attempt to reproduce or simulate human intelligence in machines. This term often applies to a project to develop systems with intelligent processes that are common to humans, such as the ability to reason, meaning, generalize or learn from previous experience. In short, the machine is experiencing a kind of regeneration when a computer system learns how to perform a task instead of doing programming how to do it. This area is based on the assumption that human intelligence can be described as exactly that it can build a machine to simulate it. Building an artificial intelligence system is a meticulous process to convert human characteristics and skills into a machine. Artificial intelligence is often used with the teachings of the machine and data analysis, and the resulting combination can make smart decisions. Many modern artificial intelligence techniques are effective in identifying a large number of numerical data amounts to predict the results.
The learning of the machine is based on this ability to find patterns using a variety of complex mathematical algorithms, such as the prediction of the optimal price for Uber rides during the rush hour in Manhattan or switching movies holding in Netflix, based on what they saw. before. But learning the machine remains fragile when it comes to everyday examples of human intelligence, such as identifying objects (ask Tesla on it) or understanding language.
On the other hand, François Cholet, an artificial intelligence researcher in Google and the Creator of the Keras Learning Program Library, said that intelligence relates to the capacity of systems to adapt and improve in a new environment, to generalize, and apply knowledge to unknown scenarios. In this limited sense, artificial intelligence in applications is used as diverse than medical diagnoses, computer search engines and
Four types of artificial intelligence Arend Hintze, assistant professor in the Department of Integrated Biology, Computer and Engineering at the Michigan State University, explained in an article 2016 that artificial intelligence can be divided into four types, starting with specific intelligent systems of the Activity is widely used today and allegedly moving non-existent systems. These machines can learn through experience and perform artificially generated features. Artificial Intelligence aims to imitate biological intelligence by allowing an application or software system to work with several grades of autonomy and, which reduces the manual of human intervention in a wide variety of functions. In essence, artificial intelligence is a branch of computer science aimed at responding to shift demand in the positive. Software developers combine multi-source information with digital data and remote on the conclusions obtained from this information.
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