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An 3D illustration with a blue orb and a model of a human head "staring" at eachother. Crisscrosing and surrounding them is a messy orange line, conveying confusion and frustration.

AI is smart, but does it play well with others?

September 14, 2021
a cluster of red, blue, and pink circles all interconnected with lines.

GraphEx Symposium convenes top network scientists

July 19, 2021
This is a photo of a CubeSatpayload application of the TBIRD technology.
Awards

Lincoln Laboratory technologies named 2020 R&D 100 Award winners

October 13, 2020
Charlie Dagli discusses tools to search and analyze dark web data

Artificial intelligence is helping investigators fight crime on the dark web

May 7, 2019
The NICS mobile app allowed users on scene to input real-time information while also monitoring information from commanders or other responders. Photo courtesy of DHS S&T

Emergency-response system supports NATO exercise in Southeast Europe

March 29, 2018
During the two-day hackathon, staff were challenged to quickly train and test machine learning algorithms to detect fake media content. Photo: Nicole Fandel

Using machine learning to detect fake news

October 3, 2017
Ngaire Underhill, far left, a member of the staff in Lincoln Laboratory's Surveillance Systems Group, led this team that prototyped an app to help combat online harassment. Photo: Alex de Aranzeta

Hacking intolerance with MIT Breaking the Mold

May 2, 2017
Robert Atkins (right), Head, Advanced Technology Division, introduced Daniel Ripin (center) at the awards ceremony; Director Eric Evans presented the award. Photo: Glen Cooper
Awards

February ceremony honored recipients of 2016 MIT Lincoln Laboratory Technical Excellence Awards

February 21, 2017
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