Hi all. I am writing to share the latest developments on the AINode component that we have been contributing to the IoTDB. We have made progress on integrating AINode with IoTDB. Here's a summary of the current status: Basic Functionality Integration: We have successfully added the foundational code for AINode to the IoTDB-core module. This lays the groundwork for the advanced analytical capabilities by deep learning model. Node Management Enhancements: To DataNode and ConfigNode, we have incorporated new functionalities for node management that are essential for the operation of AINode. Initial Model Management and Inference Support: The current development phase supports the basic workflow for model management and inference. This is a crucial step towards realizing AINode's full potential. We have pushed these changes to a pull request (PR) for review and discussion. You can find the details and the code in the following PR: https://github.com/apache/iotdb/pull/13254 We are excited to continue enhancing the AINode module. Our immediate focus will be on refining the IT infrastructure, conducting non-functional refactoring to improve code quality, and ensuring robust performance. We look forward to sharing these improvements and progress with the community soon.
Best regards, Caiyin Yang
