IAI Artificial Intelligence Recap Quiz

What are some key aspects of Natural Language Processing (NLP)?

• Robotics and Automation

• Image Processing and Speech Recognition

• Language Understanding and Natural Language Generation

• Data Visualization and Machine Learning

What is the purpose of Text Preprocessing in NLP?

• To remove frequently occurring words with low semantic value

• To generate natural language from data

• To analyze the grammatical structure of sentences

• To convert text into numerical format for machine learning algorithms

Which layer of a neural network processes information from the outside world?

• Feature Extraction Layer

• Hidden Layer

• Output Layer

• Input Layer

What is the main goal of search techniques in AI?

• To generate natural language from data

• To systematically consider all possible action sequences

• To convert text into numerical format for machine learning algorithms

• To analyze the grammatical structure of sentences

Which search technique explores nodes in tree order from left to right at each level?

• Greedy Search

• Breadth First Search

• Best-First Search

• Depth First Search

What is the evaluation function used in A* search?

• f(n) = g(n) + h(n)

• f(n) = g(n) - h(n)

• f(n) = g(n) * h(n)

• f(n) = g(n) / h(n)

What are some core technologies integrated into automated robotics?

• Blockchain and Cryptocurrency

• Quantum Computing and Nanotechnology

• Virtual Reality and Augmented Reality

• Sensors, Actuators, and AI Algorithms

What is a key challenge in modern robotics?

• Enhancing robot intelligence

• Implementing virtual assistants

• Ensuring energy efficiency

• Developing self-driving cars

What is the purpose of Natural Language Generation in NLP?

• To create concise summaries of larger text documents

• To analyze the grammatical structure of sentences

• To convert text into numerical format for machine learning algorithms

• To generate human-like text based on understanding

What is the main limitation of A* search?

• Inability to handle large datasets

• Lack of heuristic functions

• Memory storage

• Computational time