A paper co-authored by SDSC affiliate Dean Eckles and SES/IDPS alumnus Eaman Jahani shows that maintaining relationships with distant contacts takes work but results in a more diverse network and increased access to economic opportunities.

“PhotoGuard,” developed by MIT CSAIL researchers including SDSC affiliate Aleksander Madry, prevents unauthorized image manipulation.

Researchers including IDSS core faculty Navid Azizan develop a machine-learning technique that can efficiently learn to control a robot, leading to better performance with fewer data.

SDSC core faculty Stefanie Jegelka explores how models learn in order to potentially improve success rates and adjust the processes for more focused results.

A study led by SDSC member Emery Brown finds that distinctive EEG patterns indicate when a patient’s state of unconsciousness under general anesthesia is more profound than necessary.