Now showing items 27-46 of 83

    • Generating New Molecules with Graph Grammar 

      Hinkel, Lauren (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.
    • 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.
    • GraphBLAS and GraphChallenge Advance Network Frontiers 

      Kepner, Jeremy; Bader, David A.; Davis, Tim; Pearce, Roger; Wolf, Michael M. (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 ...
    • Green AI Architecture Experimentation 

      Unknown author (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 ...
    • 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 ...
    • Hydra-zen Framework Makes Scientific Computing Easier for Researchers 

      Unknown author (2021-09-01)
      Hydra-zen is a framework that allows researchers to better document and implement their changes to variables and settings used to perform complex experiments and save them alongside the resulting calculations, ensuring ...
    • Intelligent Tornado Prediction Engine 

      Unknown author (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 Study Compares Machine Learning Accelerator Technologies 

      Unknown author (2023-09-28)
      Dr. Albert Reuther, Senior Staff, Lincoln Laboratory Supercomputing Center (LLSC), is leading a Laboratory study that investigates and compares machine learning accelerators to better understand each accelerator’s strengths ...
    • Laboratory Technology Helps Manage Flight Delays Through Severe Weather 

      Unknown author (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 ...
    • Laboratory Workshops Highlight Use of Artificial Intelligence in National Security 

      Unknown author (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 ...
    • 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 ...
    • MagNav Project Successfully Demonstrates Real-Time Magnetic Navigation 

      Unknown author (DAF-MIT AI Accelerator, 2023-05-26)
      In a groundbreaking achievement, the Department of the Air Force-Massachusetts Institute of Technology Artificial Intelligence Accelerator (AIA) MagNav project performed real-time magnetic navigation (MagNav) on the C-17A ...
    • 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 ...
    • MIT and Stanford researchers develop operating system with one major promise: Resisting ransomware 

      Vazquez, Christian (Cyberscoop, 2023-04-21)
      Computer science researchers at MIT and Stanford are developing an operating system with built-in cybersecurity defenses.
    • MIT and U.S. Air Force Sign Agreement to Launch AI Accelerator 

      Unknown author (MIT Lincoln Laboratory, 2019-07-12)
      MIT and the U.S. Air Force have signed an agreement to launch a new program designed to make fundamental advances in artificial intelligence that could improve Air Force operations while also addressing broader societal ...