Category: Artificial Intelligence

AI Adoption Strategy

An AI adoption strategy is a plan that guides how an organisation introduces and uses artificial intelligence in its operations. It outlines the steps, resources, and goals for using AI to improve efficiency, solve problems, or create new opportunities. This strategy often includes assessing needs, preparing teams, choosing the right tools, and ensuring that changes…

Zero Resource Learning

Zero Resource Learning is a method in artificial intelligence where systems learn from raw data without needing labelled examples or pre-existing resources like dictionaries. Instead of relying on human-annotated data, these systems discover patterns and structure by themselves. This approach is especially useful for languages or domains where labelled data is scarce or unavailable.

Quantisation-Aware Training

Quantisation-Aware Training is a method used to prepare machine learning models for running efficiently on devices with limited computing power, such as smartphones or embedded systems. It teaches the model to handle the reduced precision of numbers, which happens when large models are made smaller by using fewer bits to represent data. This approach helps…

Curriculum Scheduling

Curriculum scheduling is the process of organising when and how different lessons, subjects, or courses are taught within a school or educational programme. It involves deciding the order and timing of classes throughout a term, semester, or academic year. Effective scheduling helps ensure that resources like teachers, classrooms, and equipment are used efficiently and that…

Recursive Neural Networks

Recursive Neural Networks are a type of artificial neural network designed to process data with a hierarchical or tree-like structure. They work by applying the same set of weights recursively over structured inputs, such as sentences broken into phrases or sub-phrases. This allows the network to capture relationships and meanings within complex data structures, making…