Now showing items 19-38 of 45

    • 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 ...
    • 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 ...
    • 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 ...
    • MIT joins White House supercomputing effort to speed up search for Covid-19 solutions 

      Chu, Jennifer (MIT News, 2020-03-23)
      MIT joins a consortium of supercomputing facilities to help speed the search for COVID-19 solutions.
    • MIT Lincoln Lab Offers Advice for Delivering On-Demand HPC 

      Russell, John (HPCwire, 2019-03-11)
      Looking for advice on how to deliver HPC to a diverse science user community? MIT’s Lincoln Laboratory has just posted a new paper – Lessons Learned from a Decade of Providing Interactive, On-Demand High Performance Computing ...
    • MIT Lincoln Laboratory Takes the Mystery Out of Supercomputing 

      Unknown author (insideHPC, 2017-01-18)
      In this special guest feature, Dr. Jeremy Kepner from MIT Lincoln Laboratory describes the lab’s approach to developing algorithms that will keep their users productive as new processing technologies evolve.
    • MIT SuperCloud 

      Unknown author (MIT Lincoln Laboratory, 2015-05-08)
      The “big data” problem is pervasive across the DoD and is most commonly characterized by the three “Vs” of big data: volume, velocity, and variety. Now, increasingly, a fourth “V”, veracity (i.e., security), is becoming ...
    • New Algorithm Uses Supercomputing to Combat Cyber Attacks 

      Unknown author (MIT Lincoln Laboratory, 2020-05-15)
      Sophisticated cyber attacks are on the rise. Early techniques for cyber attacks, such as guessing passwords manually, have evolved throughout the years—from session hijacking to ransomware and beyond. In order to manage ...
    • New Textbook Applies Mathematics to the Management of Big Data 

      Unknown author (MIT Lincoln Laboratory, 2018-08-10)
      Mathematics of Big Data is the first book to present the common mathematical foundations of big data analysis across a range of applications and technologies.
    • Record-breaking DNA comparisons drive fast forensics 

      Unknown author (MIT Lincoln Laboratory, 2019-06-17)
      DNA forensics is a powerful tool, yet it presents a computational scaling problem when it is improved and expanded for complex samples (those containing DNA from more than one individual) and kinship analysis. Laboratory ...
    • Staff Build Robust Algorithms to Strengthen Machine Learning Methods 

      Unknown author (MIT Lincoln Laboratory, 2020-06-26)
      “Our ultimate goal is to provide the researchers and stakeholders of our community with a set of robustness tools, techniques, and best practices so that they can embrace the great promise of machine learning technology ...
    • Staff Member Selected as 2021 SIAM Fellow 

      Unknown author (MIT Lincoln Laboratory, 2021-04-23)
      The Society for Industrial and Applied Mathematics has selected Dr. Jeremy Kepner, Laboratory Fellow, Supercomputing Center, as an esteemed member of its 2021 class of SIAM Fellows.
    • Staff Release Open Source Software for BigDAWG Polystore System 

      Unknown author (MIT Lincoln Laboratory, 2017-04-14)