Artificial intelligence is a unique technology, the result of technological progress, that allows machines to learn using both their own and human experience. With its help, the machine can adapt to new conditions within the framework of its functionality, perform many tasks that have been available only to humans for decades, as well as predict events and optimize various resources.
The main examples of the use of AI known to modern man - from computers playing checkers, go and chess, to autonomous systems - are still dependent on humans, learning the world through deep learning. But even at the stage of existing progress, they influence society, form new ideas about the future, and allow the development of modern technologies.
How did AI come about?
Attempts to create a working version of AI were made back in the late 1950s. Devices programmed by scientists for reasoning according to the "if - then" principle became the basis for the creation of expert systems that own forecasting. Despite the problems that accompanied scientists in the early stages of work, the results of numerous studies have yielded excellent results.
50 years ago, the development of AI technology was hampered by doubts about the final product. The situation was influenced by such factors: the high cost of computer time, rather modest computational capabilities, and much more. In the 1980s, the process stalled due to lack of funding. But thanks to revolutionary developments, in particular, progress in the production of semiconductors, information processing and storage technologies have gone ahead by leaps and bounds. In the 90s, the era of "smart machines" began, which continues to this day. The 2000s became a new stage in the development of AI systems.
What can AI do today?
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Artificial Intelligence automates the learning process and searches using raw data.
AI solves large-scale computerized problems. To support its activities, you need a person who controls the operation of the system and the computer's decision-making.
AI gives the product intelligent qualities
AI makes familiar automated systems a modern intelligent product that suits the user's needs. It is the basis for improving devices, as it gives them a reaction to tasks, provides analytical skills. All of the world's automation, voice platforms, assistant bots, and smart machines work with large amounts of data and are constantly improving home technology at home or technology in the workplace.
AI adapts
Artificial intelligence develops using deep learning algorithms and forms the basis for further programming. He himself finds patterns in the data, learns and goes to a higher level. The possibilities for such training are not limited, because smart machines can be trained to do anything. Neural networks adapt to new information, gradually eliminating errors and implementing a number of automated processes.
AI analyzes information
A detailed analysis identifies potential risks, and the system generates forecasts and warnings, minimizes the occurrence of emergency situations or making incorrect decisions, predicts the outcome of events based on the methods of mathematical analysis. And at the same time, AI is constantly improving its skills.
AI is very accurate in its actions
Such a quality of intelligent systems is useful for a person! Artificial intelligence technologies are used in medicine, agriculture, defense, trade, production of goods, construction, economics, and even in law.
AI operates on big data
When algorithms are formed, data ceases to be just information and becomes intellectual property. Today, data is critical: it creates a competitive advantage for companies over rivals. If a company has top data in a particular industry, it will definitely become the best on the market.
How does AI work?
Artificial intelligence is an important branch of education that combines methods, technologies, practices and basic mathematical and probabilistic concepts, namely:
Machine Learning. AI automates the process of creating an analytical model, collects static data, analyzes it and receives a result that determines further actions.
Neural network. A set of processors, with the help of which a computer forms connections for performing tasks or making decisions.
Deep Learning. AI generates hierarchically complex neural networks using machine learning methods. In the process, he becomes familiar with more and more complex structures and a lot of information. An example of deep learning: image and speech recognition.
Cognitive computing. AI uses them to imitate the processes of human mental activity, learns to distinguish speech, pictures, and then, based on all this information, consistently acts in response.
Computer vision. AI recognizes images and learns to recognize surrounding objects, phenomena and processes using the example of video or images. If a computer can analyze and understand images, then it can recognize similar images, and even create videos and images on its own.
VLADIMIR EVCHENKO