Inference Engine

Expert System

An AI program that emulates the decision-making ability of a human expert by using a knowledge base and inference rules.

Knowledge Graph

A structured representation of real-world entities and the relationships between them, used by AI for reasoning and inference.

AI Orchestration

The coordination and management of multiple AI models, services, and workflows to achieve complex end-to-end automation.

AI Pipeline

A sequence of data processing and model execution steps that automate the flow from raw data to AI-driven outputs.

AI Model Registry

A centralised repository for storing, versioning, and managing trained AI models across an organisation.

Retrieval-Augmented Generation

A technique combining information retrieval with text generation, allowing AI to access external knowledge before generating responses.

AI Accelerator

Specialised hardware designed to speed up AI computations, including GPUs, TPUs, and custom AI chips.

AI Chip

A semiconductor designed specifically for AI and machine learning computations, optimised for parallel processing and matrix operations.

AI Democratisation

The movement to make AI tools, knowledge, and resources accessible to non-experts and organisations of all sizes.

AI Agent Orchestration

The coordination and management of multiple AI agents working together to accomplish complex tasks, routing subtasks between specialised agents based on capability and context.

Synthetic Data Generation

The creation of artificially produced datasets that mimic the statistical properties of real-world data, used for training AI models while preserving privacy.

AI Memory Systems

Architectures that enable AI agents to store, retrieve, and reason over information from past interactions, providing continuity and personalisation across conversations.

A theoretical form of AI that would have consciousness, self-awareness, and the ability to truly understand rather than simulate understanding.

The frameworks, policies, and regulations that guide the responsible development and deployment of AI technologies.

A graphical plot illustrating the diagnostic ability of a binary classifier as its discrimination threshold is varied.

A form of logical inference that seeks the simplest and most likely explanation for a set of observations.

A theoretical level of AI that surpasses human cognitive abilities across all domains, including creativity and social intelligence.

Computing systems that simulate human thought processes using self-learning algorithms, data mining, pattern recognition, and natural language processing.

AI systems designed and trained for a specific task or narrow range of tasks, such as image recognition or language translation.

An extension of the World Wide Web that enables machines to interpret and process web content through standardised semantic metadata.