Machine Learning

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

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

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

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 optimisation, and social networks.

Multimodal Learning

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.