Artificial Intelligence Glossary

AI model deployment is the process of making a trained AI model available for real-world use, typically in a production...

Artificial Intelligence (AI) is the development of computer systems that can perform tasks that typically require human intelligence, such as...

An Artificial Neural Network (ANN) is a computational model inspired by the human brain, consisting of layers of interconnected nodes...

Autonomous Systems are machines or robots that can perform tasks without human intervention, often using AI to make decisions based...

Computer Vision is an AI field that enables machines to interpret and make decisions based on visual data from the...

A specialized neural network designed to process grid-like data, such as images.

Convolutional Neural Networks (CNNs) are a type of neural network designed to process and recognize visual data, such as images...

A Decision Tree is a machine learning model used for classification and regression tasks, where decisions are made by following...

Deep Learning is a subset of machine learning that involves networks of artificial neurons, known as neural networks, capable of...

Federated learning is a machine learning technique where multiple devices train a shared model collaboratively without sharing their data, preserving...

A Generative Adversarial Network (GAN) consists of two neural networks – a generator and a discriminator – that work together...

Generative Adversarial Networks (GANs) are a type of neural network architecture that consists of two models – a generator and...

Generative AI is a subset of AI that focuses on creating new content—like text, images, videos, or sounds—using algorithms trained...

A type of RNN designed to capture long-term dependencies by overcoming the vanishing gradient problem.

Machine Learning is a type of artificial intelligence that enables computer systems to learn from data, identify patterns, and make...

Natural Language Generation (NLG) is a branch of AI focused on automatically generating human-like text from structured data.

Natural Language Processing (NLP) is a branch of artificial intelligence that focuses on the interaction between computers and human language,...

Neural Networks are computational models inspired by the human brain that are designed to recognize patterns by processing data through...

Object Detection is an AI technology used to identify and locate objects within an image or video, often marking them...

Predictive Analytics is the use of statistical techniques, data mining, and machine learning to analyze historical data and predict future...

A neural network designed for sequential data by allowing information to persist through loops.

Reinforcement Learning (RL) is a type of machine learning where an agent learns to make decisions by interacting with an...

Reinforcement Learning (RL) is a type of machine learning where an agent learns to make decisions by receiving feedback in...

A reinforcement learning agent is a type of AI that learns by interacting with an environment, receiving feedback in the...

Robotic Process Automation (RPA) is the use of software robots (bots) to automate repetitive and rule-based tasks, typically in business...

A type of machine learning that uses both labeled and unlabeled data, typically with more unlabeled data.

Sentiment Analysis is the use of AI to determine the emotional tone behind a body of text, classifying it as...

Supervised Learning is a type of machine learning where the model is trained on labeled data, meaning the correct output...

Synthetic data is artificially generated data that mimics real-world data but is created through algorithms, rather than collected from actual...

Transfer Learning is a machine learning technique where a model trained on one task is reused or adapted for a...

Unsupervised Learning is a type of machine learning where models are trained on data without labeled outcomes, allowing them to...