Introduction When you run a regression model, you typically assume that the residuals (errors) are independent from one observation to the next. This assumption is often violated in time-based or sequential data, where errors can
Automated task planning is about turning a high-level problem statement into a sequence of actions that reliably achieves a desired outcome. The Planning Domain Definition Language (PDDL) is a common way to describe these problems
Introduction Variational Autoencoders (VAEs) are a foundational class of generative models that combine probabilistic reasoning with neural networks. They are widely used for tasks such as data generation, representation learning, and anomaly detection. A defining
Imagine a medieval fortress being built from the ground up. Engineers design walls, architects inspect the foundation, and guards patrol the perimeter. Each phase has its own kind of defence mechanism. Software applications, too, need