ML⇄DB Seminar Series — Fall 2023
Databases provide a sanctuary for the vast volumes of information required for the grand pursuit of machine learning (ML). Every bit and byte, meticulously organized and indexed, forming a labyrinthine treasure trove of data, awaiting its turn to be harnessed by ML algorithms. But it is a symbiotic relationship where ML algorithms, armed with their predictive prowess and pattern-seeking prowess, infuse the databases with newfound intelligence. The union of databases and ML is a testament to the virtuous circle of progress, where each empowers the other in a perpetual cycle of advancement.
Given this, the Carnegie Mellon University Database Research Group celebrates this grand convergence of data storage and computational mastery with the ML⇄DB Seminar Series (Machine Learning for Databases + Databases for Machine Learning). Each speaker will present the implementation details of their respective systems and examples of the technical challenges they faced when working with real-world customers.
All talks are on-line and open to the public via Zoom. You do not need to be a current CMU student to attend. Random people off of the internet are especially welcome. Videos will be posted on the CMU-DB Youtube Channel after each talk.
- Time: Mondays @ 4:30pm ET
- Location: Zoom (Must Be Authenticated)
- Organizers: Andy Pavlo, Matt Butrovich
Schedule
Other Seminars
- ML⇄DB Seminar Series (2023)
- ¡Databases! - A Database Seminar Series (2022)
- Vaccination Database Talks — Booster (2022)
- Vaccination Database Talks — Second Dose (2021)
- Vaccination Database Talks — First Dose (2021)
- Quarantine Database Tech Talks (2020)
- Hardware Accelerated Database Lectures (2018)
- Time Series Database Lectures (2017)
- The Databaseology Lectures (2015)
- Seven Databases in Seven Weeks (2014)
Sponsors
