Now showing items 1-20 of 36

    • An algorithm with an eye for visibility helps pilots in Alaska 

      Foye, Kylie (MIT Lincoln Laboratory, 2019-06-17)
      In remote areas of Alaska, pilots check current or forecasted weather conditions before they fly, but a lack of automated weather observation stations throughout the Alaskan bush makes it hard to know exactly what to expect. ...
    • Brainstorming energy-saving hacks on Satori, MIT’s new supercomputer 

      Martineau, Kim (MIT News, 2020-02-11)
      Students participated in the Green AI Hackathon, co-sponsored by the MIT Research Computing Project and MIT-IBM Watson AI Lab, to explore methods for making artificial intelligence faster and more sustainable.
    • Bug-Injecting System Helps to Advance the State-of-the-Art in Debugging Software 

      Unknown author (MIT Lincoln Laboratory, 2021-03-05)
      Bug finding systems are used after developers have written code to try to identify mistakes they have made. If these systems find a bug, they can be fixed before code is deployed. Unfortunately, these systems fail to find ...
    • Cadets Collaboratively Intern Through the Air Force-MIT Artificial Intelligence Accelerator 

      Unknown author (MIT Lincoln Laboratory, 2021-05-14)
      The Department of the Air Force-MIT Artificial Intelligence Accelerator (DAF-MIT AIA) is a collaboration between the Air and Space Forces and MIT to create new technology that will help the Air Force better complete their ...
    • Creating Synthetic Radar Imagery Using Convolutional Neural Networks 

      Unknown author (MIT Lincoln Laboratory, 2019-02-15)
      Weather radar can track the location and intensity of storms and is useful for managing transportation around hazardous weather. Air traffic controllers, for example, rely on weather radar to track storms that could impact ...
    • Cybersecurity Phenomenology Exploration 

      Unknown author (MIT Lincoln Laboratory, 2020-03-20)
    • DataSToRM: Data Science and Technology Research Environment 

      Unknown author (MIT Lincoln Laboratory, 2018-02-09)
      By analyzing graphs using specialized algorithms, complex relationships and deeper insight can be extracted from the raw information. In the last several years, the Laboratory has developed the Graph Processor, which has ...
    • Enabling Massive Computation and Resiliency in the Internet-of-Things Era 

      Unknown author (MIT Lincoln Laboratory, 2017-06-16)
      The Internet of Things (IoT), an ever-growing network of physical devices connected to the Internet, brings a unique set of challenges to the Department of Defense (DoD). These challenges include the billions of connected ...
    • Enabling the Foundations of AI: Data, Computation, and Algorithms 

      Unknown author (MIT Lincoln Laboratory, 2019-11-01)
      MIT Lincoln Laboratory staff in the Lincoln Laboratory Supercomputing Center are developing tools to address challenges in data management and algorithmic techniques for novel neural network architectures to enable rapid ...
    • Establishment of the Lincoln Laboratory Supercomputing Center 

      Unknown author (MIT Lincoln Laboratory, 2016-04-15)
      Lincoln Laboratory has been a world leader in interactive supercomputing since the 1950s. Recently, the Laboratory acknowledged the importance of the LLGrid world-class computing capability with the establishment of the ...
    • Expanding Air Traffic Controllers’ View of Offshore Weather 

      Unknown author (MIT Lincoln Laboratory, 2016-10-14)
      Researchers at the Laboratory, working with the Federal Aviation Administration, have designed the Offshore Precipitation Capability (OPC) to address the lack of airspace situational awareness for aircraft traversing oceanic ...
    • Graph Processor Prototype 

      Unknown author (MIT Lincoln Laboratory, 2017-02-10)
      In order to achieve significantly better graph computation performance, an advanced multiprocessor architecture has been developed that is optimized for analysis of large databases.
    • High-Fidelity Multi-Physics Simulations for Hypersonics 

      Unknown author (MIT Lincoln Laboratory, 2020-06-12)
    • How Supercomputers Are Helping to Fight COVID-19 

      Mandelbaum, Ryan F. (Gizmodo, 2020-03-23)
      A host of companies, including IBM, Microsoft, and Google, along with universities and national labs have teamed up to form the COVID-19 High Performance Computing (HPC) Consortium. This new partnership is designed to ...
    • The Laboratory’s New AI Supercomputer is the Most Powerful at any University 

      Unknown author (MIT Lincoln Laboratory, 2019-07-19)
      The new TX-GAIA computing system at the Lincoln Laboratory Supercomputing Center (LLSC) has been ranked as the most powerful artificial intelligence (AI) supercomputer at any university in the world. The ranking comes from ...
    • Laboratory’s Supercomputing System Ranked Most Powerful in New England 

      Unknown author (MIT Lincoln Laboratory, 2016-12-02)
      The new computing system, TX-Green, at the Lincoln Laboratory Supercomputing Center (LLSC) has been named the most powerful supercomputer in New England and the 3rd most powerful at a United States university on the TOP500 ...
    • Lidar Scans Over the Carolinas Accelerate Hurricane Recovery 

      Unknown author (MIT Lincoln Laboratory, 2019-01-11)
      The Federal Emergency Management Agency (FEMA) called upon MIT Lincoln Laboratory to use its state-of-the-art light detection and ranging (lidar) system to image the destruction from hurricane Florence. A high-resolution ...
    • LINEAR Is On the Watch for Potentially Hazardous Asteroids 

      Unknown author (MIT Lincoln Laboratory, 2021-02-05)
      NASA estimates that an asteroid the size of a car enters Earth’s atmosphere about once a year, creating a great fireball while burning up before reaching Earth’s surface; and roughly every 2,000 years, a football-stadium-sized ...
    • LLx Project Seeks to Improve Online Hands-On Learning 

      Unknown author (MIT Lincoln Laboratory, 2019-12-06)
      Online learning has been around for decades, but educators still struggle to adapt certain hands-on subjects to the web. At MIT Lincoln Laboratory, a team of researchers has been working on ways to close this practical ...
    • Mission-ready Reinforcement Learning 

      Unknown author (MIT Lincoln Laboratory, 2020-08-28)
      The Mission-ready reinforcement learning (MeRLin) program is looking to solve complex planning and coordination problems across a range of Department of Defense mission areas. MeRLin is focusing on developing and training ...