Prompt
"An illustrative diagram of a Particle filter, also known as Sequential Monte Carlo method, in action, visualizing particles representing hypotheses, with color-coded weights, undergoing resampling and importance sampling, set against a backdrop that subtly suggests applications in nonlinear filtering, state estimation, and Bayesian inference, such as robotic navigation or computer vision, in a stylized, futuristic, and abstract representation that conveys complexity and dynamic movement."