Data Processing

Data processing is crucial for extracting meaningful insights from raw data, a fundamental step in various fields including machine learning and artificial intelligence. Current research emphasizes automating data processing pipelines, focusing on techniques like automated machine learning (AutoML), large language models (LLMs) as generic data operators, and novel algorithms for handling diverse data types such as text, images, and sensor data from IoT devices. These advancements improve efficiency, robustness, and the ability to handle increasingly complex and large datasets, impacting diverse applications from medical diagnosis to natural language processing and beyond.