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Artificial intelligence (AI) refers to simulation of human intelligence in machines that are usually programs to think, learn and perform the tasks required by human feeling. These tasks include problems in solving, decisions, language understanding, perception and even creativity. The AI ​​system is designed to analyze data, identify patterns and determine with minimal human intervention, often improves performance over time through learning algorithms.

Types of AI

AI can be widely classified into two types: narrow AI and General AI.

Smal AI (or weak AI) is designed to perform specific features within a limited domain. Examples include voice assistant, Netflix or Amazon recommended systems and self -driving cars. These systems are distinguished in their specific tasks, but lack their ability to normalize beyond the programmed scope.

General AI (or strong AI) refers to machines that have the ability to understand, learn and apply knowledge in a wide range of tasks, as a human being. This level of AI is theoretical and has not yet been achieved.

How does the AI ​​work

AI depends on the combination of data, algorithms and computing power. The process usually entails:

Data collection: AI system requires large amounts of data to learn and make informed decisions. This data can come from different sources, such as sensors, databases or user interactions.

Machine learning (Ml): AI of AI, ml includes training algorithms on large datasets to identify patterns and create predictions. Techniques that monitored learning, unsafe learning and reinforcement learning are often used.

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