This week in Neo4j saw the opening keynote of GraphConnect 2018, where Hilary Mason and Emil Eifrem presented on Machine Learning and Artificial Intelligence, highlighting its applications in solving new problems. The APOC library was also released with support for custom procedures, web scraping, and refreshed documentation. Additionally, Graphs4Good was announced as a program to showcase graph-powered projects that promote positive social change, while Let's Encrypt was used to set up valid SSL for protecting data in transit. New releases of the Graph Algorithms library included similarity functions, balanced triads, and Louvain Phase 2, with support for calculating similarity between nodes and intermediate cluster assignments. The Talking Kotlin podcast featured an interview with Michael Hunger discussing graph databases and his work integrating Neo4j with GraphQL and Kotlin. Next week's events include a talk on September 27th, and the tweet of the week highlights inspiration from Hilary Mason's talk on AI and ML at GraphConnect 2018.