News & Events


February 21, 2024

Automated method helps researchers quantify uncertainty in their predictions

Pollsters trying to predict presidential election results and physicists searching for distant exoplanets have at least one thing in common: They often use a tried-and-true scientific technique called Bayesian inference.

November 9, 2023

MIT Engineers are on a Failure-Finding Mission The team’s new algorithm finds failures and fixes in all sorts of autonomous systems, from drone teams to power grids.

From vehicle collision avoidance to airline scheduling systems to power supply grids, many of the services we rely on are managed by computers. As these autonomous systems grow in complexity and ubiquity, so too could the ways in which they fail.

November 9, 2023

Explained: Generative AI - How do powerful generative AI systems like ChatGPT work, and what makes them different from other types of artificial intelligence?

A quick scan of the headlines makes it seem like generative artificial intelligence is everywhere these days.

LIDS Principal Investigators Navid Azizan (left) and Patrick Jaillet (right)

October 12, 2023

Navid Azizan and Patrick Jaillet Named Leading Academic Data Leaders in 2023 by CDO Magazine

We are thrilled to announce that two LIDS Principal Investigators, Navid Azizan and Patrick Jaillet, have been recognized as Leading Academic Data Leaders in the 'CDO Magazine Leading Academic Data Leaders 2023 List

October 2, 2023

A more effective experimental design for engineering a cell into a new state

A strategy for cellular reprogramming involves using targeted genetic interventions to engineer a cell into a new state. The technique holds great promise in immunotherapy, for instance, where researchers could reprogram a patient’s T-cells so they are more potent cancer killers.