Robotics & Artificial Intelligence
How do neural networks in AI work?
- They simulate the human brain's structure and function to process data and make predictions or decisions based on input data.
- They are based on predefined rules and cannot learn from data.
- They replicate human visual and auditory abilities.
- They use mathematical formulas to process natural language.
Answer
They simulate the human brain's structure and function to process data and make predictions or decisions based on input data.
Reason — A neural network is a computational model inspired by the structure and functioning of biological neural networks in the human brain. Artificial Neural Networks (ANN) consist of interconnected neurons arranged in layers, which learn from input data and are used to predict or make judgements based on that data.
Related Questions
Which of the following statements is true about fixed length arguments in Python functions?
- They allow an indefinite number of arguments to be passed.
- They can only accept one argument.
- They require a predefined number of arguments.
- They allow values to be passed but not variables.
Artificial intelligence is categorised into two parts based on the capability of performing tasks: Narrow AI and Broad AI. Narrow AI is designed to perform a single task or a collection of related tasks, while Broad AI refers to systems that mimic human-like cognitive abilities, allowing them to perform a variety of intellectual tasks.
How do Narrow AI and Broad AI differ in terms of their capabilities and applications?
Expert systems, computer vision, natural language processing, and neural networks are key components of Artificial Intelligence. These technologies are used in various fields, including healthcare, automation, and data analysis. Expert systems replicate human knowledge for specific tasks, computer vision allows machines to "see" and analyse visual data, NLP enables computers to understand human language, and neural networks help in making predictions and decisions based on data.
Mention any two areas where AI technologies like expert systems and computer vision can be applied and explain their significance in those fields.
Which of the following best describes the role of computer vision in AI?
- Enabling computers to recognise and interact with human language
- Enabling computers to process and analyse text data
- Enabling computers to interpret visual data, such as photos and videos
- Creating neural networks for machine learning tasks