Glossary

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Anomaly Detection

Anomaly detection is a process in data analysis and machine learning.

Artificial Intelligence (AI)

Artificial Intelligence (AI) is a branch of computer science that focuses.

Attention Mechanism

The attention mechanism is a core concept in deep learning, especially.

Attribute-Based Access Control (ABAC)

Attribute-Based Access Control (ABAC) is a data access control method that uses attributes (characteristics or properties) associated with users, data, and the environment to determine access rights.

Auto-Scaling

Auto-scaling refers to automatically adjusting the number of computing resources.

Autoencoder

An autoencoder is a type of artificial neural network used for unsupervised learning, primarily to learn.

AutoML (Automated Machine Learning)

Automated Machine Learning (AutoML) is the process of automating the development.

Autonomous Agents

Autonomous agents are software or robotic systems operating independently.

An Autonomous Reasoning Loop is a core operational pattern in agentic AI that enables an AI system to continuously reason, take actions, observe outcomes, and adapt its behavior until a goal is achieved or a defined stopping condition is reached.