RelationalAI | Resources

Machine Learning through Database Glasses, NeurIPS 2021

This talk explores several techniques to improve the runtime performance of machine learning by taking advantage of the underlying structure of relational data. While most data scientists use relational data in their work, the data science tooling that works with relational data is quite lacking today. Let’s explore these new techniques and see how we can drastically improve machine learning through a database-oriented lens.

AI workloads inside databases, NeurIPS 2021

This incredible panel of experts gathered to discuss the current state of AI and machine learning workloads inside databases. The panel discussed new techniques, technologies, and recent papers that progress our understanding of what is possible. Q&A among the panel and from the audience concludes this deep and wide ranging conversation.

Metadata Management Series: Compliance Reasoning with Knowledge Graphs

Demonstrating the details of weaving metadata into a knowledge graph to automate checking and maintenance of complex policy requirements.

Deep Learning with Relations, NeurIPS 2021

Molham shares some history of relational databases, trends in modern cloud-native database systems, and the innovations pioneered at RelationalAI to bring deep learning with relations from idea to reality.

Random Number Generators in Rel

Rel now supports the random number generators Mersenne Twister, Threefry, and random device.

RelationalAI Year in Review, 2021

As we say goodbye to 2021, we wanted to create a roundup of our best blog posts and public interviews all in one place. It was a busy year for RelationalAI, so as we head into the new year let’s take a moment to look back at some of the exciting things that came out of 2021.

Regular Expression Matching and Capture Groups in Rel

Rel supports regular expression matching with capture groups.