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New tools are available to help reduce the energy that AI models devour
(MIT News, 2023-10-05)
The MIT Lincoln Laboratory Supercomputing Center (LLSC) is developing techniques to help data centers reel in energy use. Their techniques range from simple but effective changes, like power-capping hardware, to adopting ...
The Soviet Atomic Threat, Oppenheimer, and the Need for National Air Defense
(2023-12-14)
Widespread concern about the potential of a Soviet Union nuclear bomber threat prompted the Department of Defense (DoD) to initiate studies to evaluate the nation’s state of air defense against nuclear attack. This ultimately ...
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, ...
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 ...