👉 Prediction computing is an approach within artificial intelligence that focuses on forecasting future states or outcomes based on historical data and current patterns. It leverages machine learning models, particularly recurrent neural networks (RNNs) and transformers, to predict sequences of data, such as time series, text, or speech. By analyzing past inputs and learning their temporal dependencies, these models can generate predictions about what might happen next, enabling applications like natural language generation, speech recognition, and autonomous decision-making. Prediction computing aims to enhance the efficiency and accuracy of these forecasts by continuously updating predictions as new data becomes available, thus providing a dynamic and adaptive method for anticipating future scenarios.
