This type encompasses a broader approach to AI technology, where machines learn patterns and rules from data. This machine learning includes subcategories such as supervised, unsupervised, and effort-based learning.
This discipline, through its algorithms, provides computers with the ability to identify patterns in massive data and create predictions.
Machine learning has become an excellent choice in scenarios where data, tasks, or requests are always changing.
H3. Symbolic AI
It focuses on the processing of information from rules, symbols iran whatsapp resource and formal language to solve problems.
Symbols play an important role in human thought and reasoning process, therefore, symbolic AI emulates that mechanism and tries to represent that human knowledge through human-readable signals.
That is, its role is to embed knowledge and rules of human behavior into computer programs.
H3. Cognitive AI
This intelligence is a part of AI, which encompasses technologies and tools that allow hearing, seeing, speaking and understanding the needs of the audience through natural language. In other words, they allow machines to learn the language of humans.
Its main capabilities are: transforming audio into text, text into audio, understanding grammatical connections, recognizing images or video sequences.
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