Mathematical Expression

Mathematical expression research focuses on efficiently representing, manipulating, and understanding mathematical formulas, aiming to improve their accessibility and utility across various fields. Current research emphasizes developing robust methods for recognizing and generating mathematical expressions from diverse sources like images, speech, and natural language, often employing deep learning architectures such as transformers and convolutional neural networks, along with symbolic regression techniques. These advancements have significant implications for scientific discovery, enabling automated simplification of complex expressions, improved accessibility of scientific literature, and enhanced capabilities in symbolic computation and automated problem-solving.