Artificial Intelligence has become a hot topic today. Here's a helpful glossary of AI-related terms worth knowing

Automation utilises algorithms, machine learning, robotics, and cognitive computing to streamline operations, and reduce human error

Deep Learning trains neural networks to recognise patterns and make decisions

Generative AI is a subset of AI that creates new content through algorithmic models

Reinforcement learning trains agents to make decisions through trial-and-error interactions with an environment

Machine learning enables computer systems to learn from data and make predictions or decisions without explicit programming

Interpretability refers to the ability to understand and explain how an AI model or system makes decisions

Long Short-Term Memory is a type of recurrent neural network (RNN) architecture that addresses the limitations of traditional RNNs

Optimisation is finding the best solution or configuration for a given problem

Quantum computing explores the use of quantum mechanical phenomena to perform computations

Convolutional Neural Networks are deep learning architectures designed for processing grid-like data, such as images or videos