It uses methods from artificial neural networks, statistics, operations research and physics to find hidden insights in data without explicitly being programmed for where to look or what to conclude.The AI analyzes the input text and tries to understand its meaning based on the patterns it has learned. It uses a combination of statistical techniques, natural language processing algorithms, and pattern recognition to interpret your question. The AI then retrieves and generates a response based on its understanding of the question and the knowledge it has acquired during training.They use image classification, speech recognition, and natural language processing.Neural networks: Is a series of algorithms that seek to identify relationships in a data set via a process that mimics how the human brain works.Artificial neurons: A mathematical function conceived as a model of biological neurons in a neural network. Artificial neurons are the elementary units of artificial neural networks.Artificial neural network: An interconnected group of nodes, inspired by a simplification of neurons in a brain.AI requires a foundation of specialized hardware and software for writing and training machine learning algorithms. No single programming language is synonymous with AI, but Python, R, Java, C++ and Julia have features popular with AI developers.In general, AI systems work by ingesting large amounts of labeled training data, analyzing the data for correlations and patterns, and using these patterns to make predictions about future states. In this way, a chatbot that is fed examples of text can learn to generate lifelike exchanges with people, or an image recognition tool can learn to identify and describe objects in images by reviewing millions of examples.