Glossary

A set of rules for a computer to solve problems or make decisions.

Overlaying digital information onto the real world.

A system for secure, unchangeable record-keeping.

Storing and accessing data and programs over the internet.

Finding useful patterns or information hidden in large amounts of data.

Technology that identifies a person's face from a photo or video.

A part of AI where computers learn from experience (like a child learning from mistakes) to get better at a task.

Using data and machine learning to predict future outcomes.

The science of building and programming robots to do tasks.

Machine learning where the computer is taught using examples with answers.

When an AI system reflects the biases of its creators.

Machines or systems that can operate independently, like self-driving cars.

An AI program that can chat and provide helpful information.

Computers interpreting and understanding visual information.

Advanced machine learning using "artificial brains" (neural networks) for large data.

Two neural networks competing, one creating and the other evaluating.

Helps computers understand and respond to human language.

Super powerful computing using quantum mechanics.

Using AI to determine the tone of writing.

Machine learning where the computer learns from data without answers.

Like a smart robot that can think, learn, and make decisions, almost like a human.

Extremely large data sets that can be analyzed for patterns and trends.

A computer program that chats with you, like a virtual assistant.

Protecting computers, networks, and data from threats.

Processing data near where it's collected, instead of centrally.

Connecting everyday objects to the internet for data collection and sharing.

A computer system designed like the human brain to help computers think and learn.

Learning by trial and error, getting rewards for good actions.

Home devices connected to the internet and controlled remotely.

A computer-generated environment for a different reality experience.