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Security leaders learn AI fundamentals through MIT professional program
(DAF-MIT AI Accelerator, 2022-05-20)
The AI Accelerator partnered with MIT Lincoln Laboratory, DOD’s Chief Digital and Artificial Intelligence Office, and MIT’s Computer Science and Artificial Intelligence Laboratory to offer the AI for National Security ...
Laboratory Workshops Highlight Use of Artificial Intelligence in National Security
(2022-04-05)
Teams at MIT Lincoln Laboratory are using AI to address national security challenges in collaboration with other organizations. To facilitate this research and promote collaboration with other organizations, the Laboratory ...
Two Laboratory Teams Receive 2020 AI Accelerator Awards
(2022-11-10)
Two teams involving Laboratory staff were recognized with 2020 awards from the Department of the Air Force (DAF)−MIT Artificial Intelligence (AI) Accelerator. Recipients were selected from more than 150 airmen, researchers, ...
GraphBLAS and GraphChallenge Advance Network Frontiers
(2022-11-09)
The challenges associated with graph algorithm scaling led multiple scientists to identify the need for an abstraction layer that would allow algorithm specialists to write high-performance, matrix-based graph algorithms ...
Taking a magnifying glass to data center operations
(MIT News, 2022-08-24)
To gain insight into whether the MIT Lincoln Laboratory Supercomputing Center (LLSC) TX-GAIA supercomputer is being used as effectively as it can, the LLSC has been collecting detailed data on system usage over the past ...
Technology Office Announces Winners of the FoolMe Hackathon
(2022-04-05)
The MIT Lincoln Laboratory Technology Office wrapped up the FoolMe Challenge, a hackathon that was part of the Laboratory’s ongoing effort to observe trends in the manipulation of information, anticipate the broader ...
Green AI Architecture Experimentation
(2022-11-10)
The Green AI Architecture Experimentation (GAIA-X) project is developing technologies to promote the concept of green computing by establishing foundational tools and proposing power-reduction strategies. The immediate ...
Intelligent Tornado Prediction Engine
(2022-11-09)
The most common type of tornado in the Southeast region of the United States, known as a quasi-linear convective system tornado, is historically difficult to warn for, with lead times hovering under 7 minutes and a false ...
Laboratory Technology Helps Manage Flight Delays Through Severe Weather
(2022-11-10)
Historically, air traffic controllers (ATCs) have relied on past experience and looked at weather forecasts themselves to understand and prepare in advance for weather that could impact the flow of traffic. A MIT Lincoln ...
Generating New Molecules with Graph Grammar
(MIT News, 2022-04-01)
An efficient machine-learning method uses chemical knowledge to create a learnable grammar with production rules to build synthesizable monomers and polymers.