Real Time Classification

Real-time classification focuses on rapidly assigning labels to data streams, enabling immediate responses and actions. Current research emphasizes the use of deep learning models, particularly artificial neural networks (ANNs) including recurrent neural networks (RNNs like LSTMs) and transformers, to achieve high accuracy and speed in diverse applications. This field is crucial for numerous domains, from autonomous driving and medical device control to network traffic management and astronomical data analysis, where immediate insights are critical for safety, efficiency, or scientific discovery. The development of efficient algorithms and model compression techniques is a key focus to ensure real-time performance even with large datasets.