September 2020 Summaries

The Cleveland Museum of Art (CMA) has launched ArtLens AI: Share Your View, an interactive tool that matches photos taken by users with art from the museum's collection. This initiative aims to provide a fun and engaging way for people to connect with art during these uncertain times. Users can upload their images on the CMA website or mention @ArtLensAI on Twitter to receive matching artwork. The tool uses machine learning and open-source vector similarity engine Milvus to recognize shapes, patterns, and objects in users' photos and find surprising matches from the museum's collection.

Wanyin App, an AI-based music sharing community, implemented an item-based collaborative filtering (I2I CF) recommender system to sort out music of interest based on users' previous behavior. The system converts songs into mel-frequency cepstrum (MFC), designs a convolutional neural network (CNN) to extract feature embeddings, and uses Milvus as the feature vector similarity search engine for embedding similarity search. This approach helps in generating music recommendations through embedding similarity search and filtering duplicate songs accurately.