Prediction Horizon

Prediction horizon, the timeframe over which a model accurately forecasts future events or states, is a critical parameter across diverse scientific and engineering domains. Current research focuses on improving prediction accuracy and efficiency across varying horizons, employing diverse model architectures such as transformers, recurrent neural networks, and convolutional networks, often incorporating techniques like mixture-of-experts and attention mechanisms. These advancements are impacting fields ranging from weather forecasting and financial modeling to robotics and autonomous driving, where accurate, timely predictions are essential for effective decision-making and safety.