AI Orchestration Layer

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.

Inference Engine

The component of an AI system that applies logical rules to a knowledge base to derive new information or make decisions.

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.

The practice of making AI systems' operations, data usage, and decision processes openly visible to stakeholders.

The research field focused on ensuring AI systems act in accordance with human values, intentions, and ethical principles.

Machine learning techniques optimised to run on microcontrollers and extremely resource-constrained embedded devices.

A method of problem-solving that represents all possible states of a system and searches for a path from initial to goal state.

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

The ability of an AI system to maintain performance under varying conditions, adversarial attacks, or noisy input data.

A measure of machine intelligence proposed by Alan Turing, where a machine is deemed intelligent if it can exhibit conversation indistinguishable from a human.

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

Middleware

Software that bridges operating systems and applications, providing common services and capabilities to applications outside the OS.