Inference Engine
An inference engine is a component of artificial intelligence that applies logical rules to a knowledge base to deduce new information.
Information Theory
Information Theory is a mathematical framework for quantifying the transmission, processing, and storage of information.
Intelligent Automation
Intelligent Automation is the integration of artificial intelligence and automation technologies to enhance operational efficiency and decision-making processes.
Knowledge Base
A Knowledge Base is a centralized repository for information that provides users with easy access to answers and resources.
Knowledge Engineering
Knowledge Engineering is the process of creating systems that can replicate human decision-making and problem-solving skills.
Knowledge Graph
A knowledge graph is a structured data system that connects entities and concepts to represent real-world knowledge and relationships.
Knowledge Representation
Knowledge representation is the method of structuring and encoding information so that AI systems can understand, reason, and make decisions with it.
Linear Algebra
Linear algebra is a branch of mathematics that deals with vectors, vector spaces, linear transformations, and systems of linear equations.
Logic Programming
Logic programming is a programming paradigm that uses formal logic to express computations.
Machine Intelligence
Machine Intelligence is the capability of a machine to imitate intelligent human behavior.
Markov Chain
A Markov Chain is a mathematical system that undergoes transitions from one state to another on a state space with the Markov property.
Metadata
Metadata is data that provides information about other data.
Modelling
Modelling is the process of creating representations or simulations of systems, phenomena, or processes to predict and analyze their behavior.
Monte Carlo Method
The Monte Carlo Method is a computational algorithm that uses random sampling to obtain numerical results, often used for estimating complex mathematical or physical systems.
Moore’s Law
Moore's Law is the observation that the number of transistors on a microchip doubles approximately every two years, while the cost of computing is halved.
Multi-Agent Systems
Multi-agent systems are AI systems where multiple autonomous agents interact, cooperate, or compete to achieve individual or shared goals.
Neural Processing Unit
A Neural Processing Unit (NPU) is a specialized hardware component designed to accelerate machine learning tasks and neural network processing.
Neuromorphic Computing
Neuromorphic Computing is an innovative approach to computing that mimics the neural structures and functioning of the human brain.
Node
A Node is a fundamental part of a data structure, such as linked lists or trees, that contains data and links to other nodes.
NP-Complete
NP-Complete is a class of problems in computational theory that are both in NP and as hard as any problem in NP.
NP-Hard
NP-Hard refers to a class of computational problems for which no efficient solving algorithm is known and is at least as hard as the hardest problems in NP (nondeterministic polynomial time).
Ontology Engineering
Ontology Engineering is the practice of designing and managing structured frameworks that define the relationships between concepts and data within a specific domain.
P vs NP Problem
The P vs NP Problem is a major unsolved question in computer science that asks whether every problem whose solution can be quickly verified can also be quickly solved.
Parallel Computing
Parallel computing is a type of computation in which many calculations or processes are carried out simultaneously.
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