by Alexander | 13 February 2025
Multimodal artificial intelligence (multimodal AI) refers to AI systems capable of simultaneously processing, interpreting and integrating several types of data (or modalities), such as text, images, audio, video or sensory data, to generate more complete and nuanced responses or decisions.
Unlike traditional (unimodal) AI models, which specialise in a single type of data (text/images/video/audio), multimodal AI mimics human cognition by combining heterogeneous sources for enriched contextual understanding.
by Alexander | 10 February 2025
An LLM (Large Language Model) is a type of artificial intelligence model trained on massive volumes of text data to understand, generate and predict text autonomously.
by Alexander | 5 February 2025
Machine learning (ML) is a sub-field of AI in which machines learn from data without being explicitly programmed.
by Alexander | 21 February 2025
Predictive maintenance is a proactive maintenance strategy that uses AI and data analysis to predict when a piece of equipment or a machine is likely to fail. The main aim is to carry out maintenance just before the potential failure, thereby maximising equipment life, minimising unplanned downtime and optimising maintenance costs.
by Alexander | 12 February 2025
An AI model is a simplified computer representation of reality, trained on data to learn how to perform tasks that normally require human intelligence.
These tasks can include speech recognition, natural language understanding, decision making, image recognition, and many others. AI models are generally developed using machine learning and deep learning techniques.
