Trajectory Intelligence

Trajectory intelligence focuses on extracting meaningful insights from sequential data, such as user movements or sensor readings, to understand patterns and predict future behavior. Current research emphasizes developing foundation models, often leveraging large datasets and pre-training/fine-tuning paradigms, along with advanced algorithms like multi-agent systems and temporal tensor decomposition methods incorporating Gaussian processes to model evolving trajectories. This field holds significant promise for applications ranging from personalized recommendations and urban planning to improved anomaly detection and scientific discovery through the analysis of complex temporal data.