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This article is about which engine is used to realize artificial intelligence. The editor thinks it is very practical, so share it with you as a reference and follow the editor to have a look.

The algorithm is the engine to realize artificial intelligence, and the algorithm is a series of clear instructions to solve the problem. the algorithm represents a systematic method to describe the strategy mechanism of solving the problem, that is to say, to a certain standard input, get the required output in a limited time.

Algorithm is the engine to realize artificial intelligence.

Arithmetic

Algorithm (Algorithm) refers to the accurate and complete description of the problem-solving scheme, is a series of clear instructions to solve the problem, and the algorithm represents the strategy mechanism to describe the problem-solving in a systematic way. In other words, for a certain standard input, the required output can be obtained in a limited time. If an algorithm is flawed or is not suitable for a problem, executing the algorithm will not solve the problem. Different algorithms may use different time, space or efficiency to accomplish the same task. The advantages and disadvantages of an algorithm can be measured by space complexity and time complexity.

The instruction in the algorithm describes a calculation that starts with an initial state and (possibly empty) initial input, goes through a series of limited and clearly defined states, and finally produces an output and stops at a final state. The transition from one state to another is not necessarily certain. Some algorithms, including randomization algorithms, include some random inputs.

The concept of formal algorithm is partly derived from trying to solve the decision problem proposed by Hilbert and then formed in an attempt to define an effective computational or effective method. These attempts include recursive functions proposed by Kurt Godel, Jacques Herbrand and Stephen Cole Clerney in 1930, 1934 and 1935, λ calculus proposed by Alonzo Church in 1936, Formulation 1 by Emil Leon Post in 1936 and Turing machine by Alan Turing in 1937. Even at present, there are still cases where intuitive ideas are difficult to define as formal algorithms.

artificial intelligence

Artificial intelligence (Artificial Intelligence), abbreviated as AI. It is a new technical science that studies and develops theories, methods, technologies and application systems used to simulate, extend and expand human intelligence.

Artificial intelligence is a branch of computer science, which attempts to understand the essence of intelligence and produce a new intelligent machine that can respond in a similar way to human intelligence. research in this field includes robots, language recognition, image recognition, natural language processing and expert systems. Since the birth of artificial intelligence, the theory and technology have become increasingly mature, and the field of application has been constantly expanding. It can be imagined that the scientific and technological products brought by artificial intelligence in the future will be the "containers" of human wisdom. Artificial intelligence can simulate the information process of human consciousness and thinking. Artificial intelligence is not human intelligence, but it can think like human and may surpass human intelligence.

Artificial intelligence is a very challenging science, and people who engage in this work must understand computer knowledge, psychology and philosophy. Artificial intelligence includes a wide range of sciences, which consists of different fields, such as machine learning, computer vision and so on. Generally speaking, one of the main goals of artificial intelligence research is to make machines competent for complex tasks that usually require human intelligence. However, different times and different people have different understandings of this kind of "complex work". In December 2017, artificial intelligence was selected as one of the "Top Ten buzzwords in Chinese Media in 2017".

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