artificial intelligence applications

 

Artificial intelligence

Artificial intelligence is one of the branches of computer science, and it is known for the specific characteristics and behaviors of computer programs that make them simulate human mental abilities and work patterns, and among the most prominent of these characteristics is the ability to infer and learn, and interact with situations that are not programmed into the device, as it is known by the intelligent design and study of customers.

artificial intelligence applications

It has been used in a wide range of areas such as: expert systems, medical diagnosis, Internet search engines, natural language processing, video games, stock trading, law, image recognition and analysis, toys, scientific discovery, automated control and voice discrimination.

The history of artificial intelligence

• Scientists began in the middle of the twentieth century AD. To explore a new approach to building intelligent machines, and based on the recent discovery of neuroscience and the development of cybernetics through the invention of the digital computer, machines that can simulate the process have been invented.  of human computational thought.
•  The modern field of artificial intelligence research was established in 1956 when a conference was held on the campus of Dartmouth College, and notable leaders in artificial intelligence research included Marvin Minsky, Herbert Simon, John McCarthy and Allen Claus. 
•  Artificial intelligence research in the early 1980s saw a new interest in the commercial success of expert systems, which are artificial intelligence programs that simulate the analytical skills and knowledge of one or more human experts. 
•  Artificial intelligence made great inroads in the 1990s and early 2000s. AI has been used in data mining, logistics, the technology industry, and medical diagnosis.

artificial intelligence philosophy

• Honda Asimo Robot: Artificial Intelligence is an inspiration and a challenge to philosophy; Because it has the ability to reconfigure the capabilities of the human mind.
•  Turing's Law (Computational Machines and Intelligence): We judge a machine's intelligence by its performance; Since the device operates with intelligence similar to human intelligence, its intelligence can be compared to human intelligence. 
• The Dartmouth Thesis: Every aspect of the learning process is an aspect of intelligence that allows a person to design a machine that simulates it.
•  Gödel's Incompleteness Theorem: No logical system can prove all true sentences. Roger Penrose and others have argued that this theory did not place limits on what humans could do, but instead placed limits on what machines could do.
•  Noel and Simon physical symbol system hypothesis: The essence of intelligence lies in the ability to manipulate symbols.
•  The artificial brain hypothesis: Ray Kurzweil and Hans Morvik et al. They argue that it is technically possible to copy the brain directly into software and hardware.
•  Searle's powerful artificial intelligence hypothesis: known as the Chinese camera, revolves around the possibility that a computer has a human-like brain if it is programmed correctly with the correct inputs and outputs.