Recurso 1

IMMERSIVE TECHNOLOGIES - xR

Artificial intelligence

IMMERSIVE TECHNOLOGIES - xR
Artificial intelligence (AI) refers broadly to any human capability that a machine or system develops by combining algorithms.

There are different types of Artificial Intelligence:

  • Artificial Neural Networks: They are systems that think like humans
  • robots: systems that act like humans.
  • Expert systems: they are systems that think rationally

Intelligent Agents: they are systems that act rationally.

Recurso 26
MACHINE LEARNING

Machine learning is an application of artificial intelligence (AI) that provides systems with the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on developing computer programs that can access data and use it to learn on their own. An example of Machine Learning application is the development of the LinealSpace TM solution

The learning process begins with observations or data, such as examples, direct experience, or instruction, to look for patterns in the data and make better decisions in the future based on the examples we provide. The main goal is to allow computers to learn automatically without human intervention or assistance and adjust actions accordingly.

There are several machine learning algorithms:

  • Supervised Machine Learning Algorithms
  • unattended machine learning algorithms
  • Semi-supervised machine learning algorithms

Reinforcement machine learning algorithms

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