Hi Caiyin, It’s exciting to hear about the development of AINode within Apache IoTDB. Looking forward to its faster growth with the help of the community. I hope to be able to make some contributions in the future as well.
Best regards, Qingxin Feng 从 Windows 版邮件<https://go.microsoft.com/fwlink/?LinkId=550986>发送 ________________________________ 发件人: Caiyin Yang <ycy...@gmail.com> 发送时间: Tuesday, August 13, 2024 3:17:23 PM 收件人: dev@iotdb.apache.org <dev@iotdb.apache.org> 主题: Introduce AINode for IoTDB's Integrated Machine Learning Solution Hi all, I hope this message finds you well. My name is Caiyin Yang, a committer to the IoTDB community. I'm excited to share that several members of our community, Minghui Liu, Yong Liu, Guo Qin, Haoran Zhang, Chenyu Li, Hang Zhou, along with me have collaboratively developed for a new component that I believe can significantly enhance the analytical capabilities of IoTDB: AINode. AINode is envisioned as a peer to the existing DataNode and ConfigNode, designed to expand IoTDB's capabilities by allowing the introduction and execution of external machine learning models through simple SQL statements. There are some basic features of AINode: 1. Model Loading: AINode will facilitate the seamless importation of machine learning models into the IoTDB ecosystem. 2. Model Management: It will provide a robust framework for managing these models. 3. Inference Capability: AINode will enable IoTDB to perform inference operations using the imported models, allowing for advanced data analysis directly within the database environment. Please let me know your thoughts and if there are any specific concerns or questions regarding the AINode component. I am looking forward to your valuable feedback and to contributing further to the IoTDB project. Thank you for your time and consideration. Best regards, Caiyin Yang
