Data is growing at a much faster rate than conventional improvements from technology requiring out-of-the-box solutions to data management. We are investigating technologies to maximize efficiency with in-memory data services, in-situ query processing on streamed data, and on-demand query engine customization using multi-objective compiler optimization.
- Edouard Bugnion to Play Key Role in EPFL-ICRC Alliance March 12, 2018
- Polisis: An AI Eye to Decipher Privacy Policies in Seconds February 26, 2018
- Building Efficient Causal Consistency Systems: A LABOS-LPD Joint Initiative Funded by EcoCloud February 8, 2018
- Scientists Develop 10X Faster Machine Learning Algorithm January 8, 2018
- Dynamic Safe Interruptibility: A Breakthrough in AI December 21, 2017