How does artificial intelligence (AI) work?
Using math and logic, a computer system simulates the reasoning that humans use to learn from new information and make decisions.
An artificially intelligent computer system makes predictions or takes actions based on patterns in existing data and can then learn from its errors to increase its accuracy. A mature AI processes new information extremely quickly and accurately, which makes it useful for complex scenarios such as self-driving cars, image recognition programs, and virtual assistants.
Machine learning is considered a subset of AI. Machine learning focuses on training machines to analyze and learn from data the way humans do. Therefore, machine learning is a technique that helps develop AI systems.
APIs—application programming interfaces—connect applications to other systems, services, or applications. When you use cognitive APIs, you’re requesting access to a library of domain-specific intelligent models
AI and data science both involve gathering, analyzing, and collecting large data sets—but they have different goals. AI focuses on how computers can make decisions based on data. Data science, on the other hand, focuses on the use of mathematics, statistics, and machine learning to extract insights from data.
A robot typically has both a physical form and the software that controls it. Robots that are controlled by AI software move autonomously—they don’t need direct instruction from a human. But not all robots are controlled by AI, and not all AI requires a physical form.