Encord has unveiled Encord Active, an open-source active learning platform that supports the entire active learning lifecycle, allowing users to enhance their data, labels, and model predictions. This toolset, now in open beta, is designed for easy setup via a Python virtual environment or Docker and encourages community engagement through Slack. The platform features advanced capabilities such as 2D embeddings for data analysis and tools for identifying and removing duplicate data to prevent model bias. Encord has also introduced enhancements in data management with asynchronous uploads and a revamped label interface called LabelRow V2, which supports intuitive labeling across various data modalities. Additionally, improvements in DICOM annotation have been made to streamline data organization and searchability. The new features are set to be available by early March, with Encord inviting user feedback to further refine their offerings.