Artificial intelligence                     

Artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, unlike the natural intelligence displayed by humans and animals. Leading AI textbooks define the field as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. Colloquially, the term "artificial intelligence" is often used to describe machines or computers that mimic "cognitive" functions that humans associate with the human mind, such as "learning" and "problem solving".

Artificial intelligence was founded as an academic discipline in 1955 and in the years since has experienced several waves of optimism, followed by disappointment and the loss of funding is known as an "AI winter", followed by new approaches, success and renewed funding. For most of its history, AI research has been divided into sub-fields that often fail to communicate with each other. These sub-fields are based on technical considerations, such as particular goals, the use of particular tools, or deep philosophical differences. Sub-fields have also been based on social factors in particular institutions or the work of particular researchers.

AI is a computer system able to perform tasks that ordinarily require human intelligence. Many of these artificial intelligence systems are powered by machine learning, some of them are powered by deep learning and some of them are powered by very boring things like rules.

While Hollywood movies and science fiction novels depict AI as human-like robots that take over the world, the current evolution of AI technologies isn’t that scary -or quite that smart. Instead, AI has evolved to provide many specific benefits in every industry. Keep reading for modern examples of artificial intelligence in health care, retail and more.

Artificial intelligence importance

• AI automates repetitive learning and discovery through data. But AI is different from hardware-driven, robotic automation
• AI adds intelligence to existing products. In most cases, AI will not be sold as an individual application.
• AI adapts through progressive learning algorithms to let the data do the programming.
• AI analyzes more and deeper data using neural networks that have many hidden layers.
• AI achieves incredible accuracy through deep neural networks – which was previously impossible.
• AI gets the most out of data. When algorithms are self-learning, the data itself can become intellectual property

Advantages of Artificial Intelligence

• Reduction in Human Error: The phrase “human error” was born because humans make mistakes from time to time. Computers, however, do not make these mistakes if they are programmed properly
• Takes risks instead of Humans: This is one of the biggest advantages of Artificial intelligence. We can overcome many risky limitations of humans by developing an AI Robot which in turn can do the risky things for us.
• Helping in Repetitive Jobs: In our day-to-day work, we will be performing many repetitive works like sending a thanking mail, verifying certain documents for errors and many more things.
• Faster Decisions: Using AI alongside other technologies we can make machines take decisions faster than a human and carry out actions quicker.

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Sarah Rose

Journal Manager

International journal of swarm intelligence and evolutionary computation

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