Which branch of AI focuses on statistical models to solve problems with artificial neural network inspired by the human brain?

Homework Help: Questions and Answers: Which branch of AI focuses on statistical models to solve problems with artificial neural network inspired by the human brain?

Which branch of AI focuses on statistical models to solve problems with artificial neural network inspired by the human brain?

A) Supervised learning
B) Deep learning
C) Augmented intelligence
D) Machine learning

Answer:

First, let’s understand the question: It’s about which branch of AI focuses on statistical models to solve problems using artificial neural networks inspired by the human brain. Let’s break down each option.

Given Options: Step by Step Answering

a) Supervised learning

  • Supervised learning is a type of machine learning where the model is trained on labeled data. While it involves learning patterns from data, it doesn’t specifically refer to neural networks inspired by the human brain.

b) Deep learning

  • Deep learning is a subset of machine learning that focuses on artificial neural networks with many layers. These networks are inspired by the human brain’s structure and function.
  • Deep learning models are particularly powerful in handling large-scale data and are commonly used for tasks like image recognition, natural language processing, and more.

c) Augmented intelligence

  • Augmented intelligence is a concept that focuses on the idea of enhancing human intelligence with AI tools. It’s more about collaboration between humans and machines rather than a specific branch of AI or a particular technique.

d) Machine learning

  • Machine learning is a broader field that involves the study of algorithms that can learn from and make predictions on data. It encompasses various approaches, including supervised learning, unsupervised learning, reinforcement learning, and deep learning.

Final Answer

Based on the above analysis, the correct answer is:

B) Deep learning

Deep learning is the branch of AI that most accurately fits the description of using statistical models and neural networks inspired by the human brain to solve problems.

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