Artificial intelligence and machine learning

Automated thinking is  data executed by machines or software represented by machines, unlike natural intelligence displayed by humans and other animals. The assessment of AI  is surprisingly distinctive and focused, and largely isolated from sub-fields that often hate arguing with each other. It underpins artificial creativity, artificial neural structures, adaptive systems, cybernetics, ontology, and knowledge sharing.

 Machine learning is a  data analysis method that automates the creation of analytic models. This is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns, and make decisions with minimal human intervention.

 

  • Track 1-1 Cybernetics
  • Track 2-2 Artificial creativity
  • Track 3-3 Artificial Neural networks

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