Agent signals are messages or notifications sent between software agents to communicate information, trigger actions, or update status. These signals help agents work together, coordinate tasks, and respond to changes in their environment. They are commonly used in systems where multiple autonomous programs need to interact efficiently.
Traffic routing is the process of directing data or user requests along specific paths within a network or between servers. It ensures that information travels efficiently from its source to its destination, helping to balance loads and avoid congestion. This technique is essential for maintaining fast and reliable user experiences on websites, apps, and other…
Active inference pipelines are systems that use a process of prediction and correction to guide decision-making. They work by continuously gathering information from their environment, making predictions about what will happen next, and then updating their understanding based on what actually happens. This helps the system become better at achieving goals, as it learns from…
Neuromorphic Processing Units are specialised computer chips designed to mimic the way the human brain processes information. They use networks of artificial neurons and synapses to handle tasks more efficiently than traditional processors, especially for pattern recognition and learning. These chips consume less power and can process sensory data quickly, making them useful for applications…
Simulation modelling is a method used to create a virtual version of a real-world process or system. It allows people to study how things work and make predictions without affecting the actual system. By adjusting different variables in the model, users can see how changes might impact outcomes, helping with planning and problem-solving.
Logistics optimisation is the process of improving how goods, materials, or information move from one place to another. It aims to reduce costs, save time, and make sure deliveries happen as efficiently as possible. This often involves planning routes, managing inventory, and coordinating transport methods. Companies use logistics optimisation to make better decisions about shipping,…
Imitation learning techniques are methods in artificial intelligence where a computer or robot learns to perform tasks by observing demonstrations, usually from a human expert. Instead of programming every action or rule, the system watches and tries to mimic the behaviour it sees. This approach helps machines learn complex tasks quickly by copying examples, making…
Autonomous workflow optimisation refers to the use of intelligent systems or software that can automatically analyse, adjust, and improve the steps involved in a business process without requiring constant human input. These systems monitor how work is being done, identify inefficiencies or bottlenecks, and make changes to streamline tasks. The goal is to save time,…
Intelligent task scheduling is the use of smart algorithms and automation to decide when and how tasks should be carried out. It aims to organise work in a way that makes the best use of time, resources, and priorities. By analysing factors like deadlines, task dependencies, and available resources, intelligent task scheduling helps ensure that…
Multi-agent coordination is the process where multiple independent agents, such as robots, software programs, or people, work together to achieve a shared goal or complete a task. Each agent may have its own abilities, information, or perspective, so they need to communicate, share resources, and make decisions that consider the actions of others. Good coordination…