The creation of intelligent machines that are capable of performing tasks that typically call for human intelligence, such as recognizing speech, making decisions, and resolving issues, is the subject of the artificial intelligence (AI) subfield of computer science. Some of the most important characteristics of AI technology are as follows:
1-Learning by Machine: Man-made intelligence frameworks gain from information and utilize measurable calculations to further develop execution over the long run.

Second, Natural Language Processing, or NLP: Human language can be understood, interpreted, and generated by AI systems.

3-Master Frameworks: Man-made intelligence frameworks intended to perform explicit assignments, such as diagnosing ailments or exhorting legitimate choices.

4-Robotics: AI systems that are able to see, think, and act in the real world.

5-Digital Vision: Artificial intelligence (AI) systems that are capable of recognizing objects in an image and following a moving target are examples of visual information processing systems.

6-Adaptability: Artificial intelligence frameworks can be prepared on new information to adjust and work on their presentation.

7-Self-correction: Errors can be detected and corrected in real time by AI systems.

Eighth, Big Data Analysis: AI systems are able to process and look at a lot of data to find patterns and ideas.

9-Deep Study: A subfield of AI that includes preparing brain networks on a lot of information.

10-Analytics for Prediction: Man-made intelligence frameworks can dissect information and make forecasts about future occasions or results.

11: Automated Systems: Computer based intelligence frameworks that can work autonomously, without human mediation.

12-Chatbots: Man-made intelligence frameworks intended to speak with people through regular language interfaces, such as informing applications or menial helpers.