Artificial Intelligence Domains and Applications

A set of vocabulary flashcards covering the fundamental domains of Artificial Intelligence, including Data, Computer Vision, and Natural Language Processing, along with their key applications.

Data

The core of AI, which can be in the form of audio, video, or text, used as input for algorithms to predict outputs.

Big Data

The storage and processing of massive sets of data, often referred to as the fuel of artificial intelligence.

Statistical Data

Techniques used to collect, analyse, interpret, and draw insight from numerical/tabular data to make decisions.

Computer Vision (CV)

A domain of AI that helps computers see and derive meaningful information from digital content like photographs and videos to take decisions.

Pixels

Dots or numerical values that represent colours, which make up a picture to a computer.

Computer Vision Process

The sequence involving image acquiring, screening, analysing, identifying, and extracting information from pixels.

Self-driving automobiles

A common application of Computer Vision, such as cars from Tesla, capable of detecting the 360-degree movements of pedestrians, cyclists, and vehicles.

Facial recognition

A technology capable of identifying a person from a digital image or video, used for device security and identifying criminals.

Natural Language Processing (NLP)

The ability of computers to understand and interpret human language and text, whether from verbal or written input.

Email filters

Also known as spam filters, these help separate unwanted or malicious messages from genuine emails using NLP.

Virtual assistants

Tools such as Siri or Google Assistant that allow users to give instructions using natural language.

Chatbots

Applications that use NLP to understand and respond to human language input in a natural way.

AI Braid Analogy

A concept where three strands of approximately $50\,cm$ each represent Data, Natural Language Processing, and Computer Vision to show how AI domains are interrelated.