Glossary for Advanced Users
The Internet of Things refers to a network of interconnected devices, sensors, and objects that can collect and exchange data. IoT Devices enable the integration of physical objects into the digital world, creating opportunities for automation, data analysis, and real-time decision-making. AI plays a crucial role in processing the vast amount of data generated by … Read more
Knowledge Graphs are a structured representation of knowledge that captures relationships between entities. They organise information in a way that allows machines to understand and reason about relationships in a graph-like structure. Knowledge graphs serve as valuable resources in Knowledge-Based Systems and help enable more intelligent decision-making.
Knowledge-Based Systems are AI systems that utilise domain-specific knowledge and rules to make informed decisions or provide expert advice. These systems incorporate human expertise and factual knowledge into a computational framework, allowing businesses to automate complex processes and improve efficiency.
A Large Language Model refers to a type of advanced Artificial Intelligence model designed to exhibit human-like language understanding and generation abilities. LLMs are trained on vast amounts of text data and can comprehend, generate, and manipulate human language to perform tasks like translation, summarisation, and dialogue generation.
Machine Learning is a powerful branch of Artificial Intelligence (AI) that focuses on enabling computer systems to learn and improve from experience without being explicitly programmed. Machine Learning algorithms learn from historical data, adapt to new information, and continually refine their models to make accurate predictions and decisions, without human intervention. These algorithms can recognise … Read more
Machine Vision refers to the use of AI and computer vision techniques to enable machines to perceive and understand visual information. It involves analysing images and videos, extracting features, and making intelligent decisions based on visual data. Machine Vision has applications in various industries, such as quality control, autonomous vehicles, and surveillance.
Modular Neural Networks are AI models composed of smaller interconnected modules, each responsible for a specific sub-task or component. These modular architectures allow for easier interpretation, flexibility, and scalability. Modular neural networks have applications in areas like computer vision, natural language processing, and robotics.
Multi-Agent Systems are AI systems where multiple autonomous agents interact and collaborate to accomplish a goal. These agents can be software programs, robots, or even humans. Multi-agent systems are used in diverse applications, including traffic management, supply chain optimization, and social networks.
Multi-Modal learning refers to AI models that learn from multiple sources of data, such as text, images, and audio. By incorporating information from multiple modalities, these models can capture richer and more comprehensive representations. Multimodal Learning finds applications in areas like sentiment analysis, image captioning, and video understanding.
