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Which of the following areas Cannot contribute to build an intelligent system?

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Which of the following areas Cannot contribute to build an intelligent system?

13. Which of the following areas can not contribute to build an intelligent system? Explanation: Geology can not contribute to build an intelligent system.

What are the intelligent systems?

Intelligent systems are technologically advanced machines that perceive and respond to the world around them. The field of intelligent systems also focuses on how these systems interact with human users in changing and dynamic physical and social environments.

What are 3 types of intelligent systems?

There are 3 types of artificial intelligence (AI): narrow or weak AI, general or strong AI, and artificial superintelligence.

What are the challenges in implementation of artificial intelligence in manufacturing units?

A significant barrier to broad AI adoption is the complexity of the technology and manufacturers’ lack of trust in its capabilities. People without a data science background struggle to understand how data science and predictive modeling works, and do not have confidence in the abstract algorithms behind AI technology.

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Which areas can contribute to build an intelligent system?

Philosophy, Sociology, Biology all three areas can contribute to build an intelligent system.

What are the features of an intelligent system?

Ability to simulate and emulate in near real time. Automated learning and machine learning functionalities. Digital feedback loops that influence product development. Action based on sensory data and algorithms.

What is intelligence in intelligent systems?

What is Intelligence? The ability of a system to calculate, reason, perceive relationships and analogies, learn from experience, store and retrieve information from memory, solve problems, comprehend complex ideas, use natural language fluently, classify, generalize, and adapt new situations.

What are the features of intelligent systems?

The 13 key characteristics are:

  • Ability to simulate and emulate in near real time.
  • Automated learning and machine learning functionalities.
  • Digital feedback loops that influence product development.
  • Action based on sensory data and algorithms.
  • Customized device experience in the cloud.
  • True compute on the far edge.
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What are the characteristics of intelligent systems?

Hence, some characteristics of intelligence include adaptability, capability of self-optimization based upon some goal or goals, ability for performing self- diagnostics and self-maintenance and the ability to learn and reason.