Guy Van den Broeck, Alexander Ratner, Benjamin Moseley, Konstantinos Karanasos, Parisa Kordjamshidi, Molham Aref, Arun Kumar
02 February 2022
less than a minute read
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.
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.Read More
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.Read More
Please join us for this fun and exciting talk by Tony Veale. As an associate professor in the School of Computer Science at University College Dublin (UCD), Ireland, he has worked in AI research for three decades, in academia and in industry, with a special emphasis on humor and linguistic creativity.Read More