https://hdl.handle.net/1721.1/131133 Information about the MIT Lincoln Laboratory Supercomputing Center 2026-04-05T21:04:17Z https://hdl.handle.net/1721.1/164305 MIT hosts 11th Undergraduate Research Technology Conference Beyah, Malakhi; Placides, Jojo From Oct. 10 to Oct. 12, the Stata Center was abuzz with bright minds and fresh faces as the Institute geared up for its 11th annual Undergraduate Research Technology Conference (URTC), where high school and undergraduate students from across the country came to present their latest research to experts and industry leaders. 2025-10-30T00:00:00Z https://hdl.handle.net/1721.1/163987 Lincoln Laboratory and MIT Haystack Observatory partner to unveil hidden parts of the galaxy Parde, Nathan They propose building a telescope made of thousands of tiny, identical satellites that will work together to reveal low-frequency radio waves in space. 2025-09-22T00:00:00Z https://hdl.handle.net/1721.1/163982 DOE selects MIT to establish a Center for the Exascale Simulation of Coupled High-Enthalpy Fluid–Solid Interactions Hadley, F The research center, sponsored by the DOE’s National Nuclear Security Administration, will advance the simulation of extreme environments, such as those in hypersonic flight and atmospheric reentry. 2025-09-10T00:00:00Z https://hdl.handle.net/1721.1/163979 AI Accelerator Announces Award Winners Accelerator, AI The Department of Air Force (DAF)-MIT AI Accelerator is a unique collaboration designed to advance the field of AI to improve DAF operations and address broader societal needs. In June 2025, the DAF-MIT Artificial Intelligence Accelerator named the recipients of AI Accelerator awards, recognizing scientific excellence, distinguished contributions, and other exceptional accomplishments. The awardees were nominated and selected from members of the AI Accelerator community, including individuals from the DAF, MIT campus, and MIT Lincoln Laboratory. 2025-07-31T00:00:00Z https://hdl.handle.net/1721.1/163976 Responding to the Climate Impact of Generative AI Zewe, Adam Explosive growth of AI data centers is expected to increase greenhouse gas emissions. Researchers are now seeking solutions to reduce these environmental harms. 2025-09-30T00:00:00Z https://hdl.handle.net/1721.1/163974 Lincoln Lab Unveils the Most Powerful AI Supercomputer at any US University Foy, Kylie Optimized for generative AI, TX-GAIN is driving innovation in biodefense, materials discovery, cybersecurity, and other areas of research and development. 2025-10-02T00:00:00Z https://hdl.handle.net/1721.1/159443 Energy Innovation Through Research Computing at MGHPCC Hill, Helen The Massachusetts Green High-Performance Computing Center (MGHPCC) is an innovation hub that supports research addressing critical energy and sustainability challenges. Research at the Center stands at the forefront of innovation, leveraging advanced computational techniques on state-of-the-art facilities to tackle some of society’s most pressing issues, particularly in energy and sustainability. 2025-05-01T00:00:00Z https://hdl.handle.net/1721.1/159442 Artificial Intelligence Enhances Air Mobility Planning Foy, Kylie Lincoln Laboratory is transitioning tools to the 618th Air Operations Center to streamline global transport logistics. 2025-04-25T00:00:00Z https://hdl.handle.net/1721.1/159231 Mission success for experiments in Mobility Guardian 23 Sansano, Rachel Mobility Guardian 23 is giving U.S. and coalition forces an opportunity to experiment in the theater that matters. 2023-07-20T00:00:00Z https://hdl.handle.net/1721.1/159230 New open-source tool helps to detangle the brain McGovern, McGovern The software tool NeuroTrALE is designed to quickly and efficiently process large amounts of brain imaging data semi-automatically. 2024-08-14T00:00:00Z https://hdl.handle.net/1721.1/159229 TBIRD technology could help image black holes’ photon rings Tantillo, Ariana The Lincoln Laboratory-developed laser communications payload operates at the data rates required to image these never-before-seen thin halos of light. 2024-11-19T00:00:00Z https://hdl.handle.net/1721.1/159228 DAF AI Accelerator’s Fundamental Research Provides Breakthrough for Aircrew Readiness The Department of the Air Force Artificial Intelligence Accelerator Program developed a new tool, the Puckboard Intelligent Recommendation Engine, which has the potential to improve mission readiness through smarter, more efficient aircrew mission and training scheduling. 2024-04-30T00:00:00Z https://hdl.handle.net/1721.1/159227 New AI tool generates realistic satellite images of future flooding Chu, Jennifer A generative AI model visualizes how floods in Texas would look like in satellite imagery. 2024-11-25T00:00:00Z https://hdl.handle.net/1721.1/159226 Q&A: The climate impact of generative AI McGovern, Anne As the use of generative AI continues to grow, Lincoln Laboratory's Vijay Gadepally describes what researchers and consumers can do to help mitigate its environmental impact. Vijay Gadepally, a senior staff member in the Lincoln Laboratory Supercomputing Center, discusses steps the research community can take to help mitigate the environmental impact of generative AI. 2025-01-13T00:00:00Z https://hdl.handle.net/1721.1/157669 Fifteen Lincoln Laboratory Technologies Receive 2024 R&D 100 Awards Foy, Kylie The innovations map the ocean floor and the brain, prevent heat stroke and cognitive injury, expand AI processing and quantum system capabilities, and introduce new fabrication approaches. 2024-09-24T00:00:00Z https://hdl.handle.net/1721.1/157668 How AI is improving simulations with smarter sampling techniques Gordon, Rachel MIT CSAIL researchers created an AI-powered method for low-discrepancy sampling, which uniformly distributes data points to boost simulation accuracy. 2024-10-02T00:00:00Z https://hdl.handle.net/1721.1/157667 New Tools for Navigating the Highways of Internet Traffic Ramdhony, Vaneshi We live in a world where the internet connects everything from global economies to smart homes. Just like how people travel from one place to another by different modes of transport and across different streets, data also travels from one point to another through different containers and takes different routes. Engineers use network analysis to learn more about all this digital traffic. 2024-10-28T00:00:00Z https://hdl.handle.net/1721.1/157666 “Better Networks” Project is Working to Improve Cybersecurity Comeau, Kailen In collaboration with the MIT Sociotechnical Systems Research Center and the Air Force, the Lincoln Laboratory Supercomputing Center is working to develop better sensors using Laboratory developed Dynamic Distributed Dimensional Data Model (D4M) technology and artificial intelligence algorithms to support defensive cyber operations. 2024-11-25T00:00:00Z https://hdl.handle.net/1721.1/157665 How MIT’s Rad Lab rescued D-Day Fine, Norman After two British physicists invented a revolutionary gadget, MIT researchers used it to develop the radar devices that helped defeat the Nazis. 2024-10-22T00:00:00Z https://hdl.handle.net/1721.1/157457 The Lincoln Scholars and Military Fellows Programs Foster Collaboration and Research to Prepare for the Future Ornitz, Rachel 2024-10-31T00:00:00Z https://hdl.handle.net/1721.1/157456 MIT Is Developing an AI Co-Pilot for Aircraft Called Air-Guardian Dela Cruz |, Jace This new tech serves as a proactive co-pilot, enhancing safety during critical moments of flight. 2023-10-11T00:00:00Z https://hdl.handle.net/1721.1/157455 An AI Dataset Carves New Paths to Tornado Detection Foy, Kylie Tornadoes are violent mysteries. A public artificial intelligence dataset could help models reveal when and why they form, improving forecasters' ability to issue warnings. 2024-04-16T00:00:00Z https://hdl.handle.net/1721.1/157454 New Open-source Tool Helps to Detangle the Brain McGovern, Anne 2024-07-22T00:00:00Z https://hdl.handle.net/1721.1/157453 Study: Transparency is Often Lacking in Datasets Used to Train Large Language Models Zewe, Adam Researchers developed an easy-to-use tool that enables an AI practitioner to find data that suits the purpose of their model, which could improve accuracy and reduce bias. 2024-08-30T00:00:00Z https://hdl.handle.net/1721.1/157452 Exploring the Mysterious Alphabet of Sperm Whales Gordon, Rachel MIT CSAIL and Project CETI researchers reveal complex communication patterns in sperm whales, deepening our understanding of animal language systems. 2024-10-31T00:00:00Z https://hdl.handle.net/1721.1/157451 William Green named director of MIT Energy Initiative Liberty, Janine In his new role, the professor of chemical engineering plans to speed up the consensus process among academics, business leaders, and policymakers for a successful energy transition. 2024-05-06T00:00:00Z https://hdl.handle.net/1721.1/154226 Accelerating Fielding of Artificial Intelligence Programs with the DAF-MIT AI Accelerator Foy, Kylie The Department of the Air Force-Massachusetts Institute of Technology Artificial Intelligence Accelerator (DAF-MIT AI Accelerator) is a collaboration between multiple organizations, and aims to leverage the capabilities of academia, government, and industry to make progress in the field of artificial intelligence. Staff from the Laboratory work closely with scientists in government and across MIT campus on the Automation in Space Domain Awareness project—the first and currently only—U.S. Space Force AI accelerator project. 2024-04-19T00:00:00Z https://hdl.handle.net/1721.1/154225 Using Deep Learning to Image the Earth’s Planetary Boundary Layer Wahl, Haley Lincoln Laboratory researchers are using AI to get a better picture of the atmospheric layer closest to Earth's surface. Their techniques could improve weather and drought prediction. 2024-03-15T00:00:00Z https://hdl.handle.net/1721.1/154224 The Cloud Outgrows Linux, and Sparks a New Operating System Prickett Morgan, Timothy Ultimately, every problem in the constantly evolving IT software stack becomes a database problem, which is why there are 418 different databases and datastores in the DB Engines rankings and there are really only a handful of commercially viable operating systems. But what if the operating system is the problem? 2024-03-12T00:00:00Z https://hdl.handle.net/1721.1/154223 Lincoln Laboratory kicks off collaboration with Air University, Air Command and Staff College Wahl, Haley Students in the Joint All-Domain Strategist Graduate Program are embedded within project teams to discover the art of the possible when faced with technical challenges. 2024-03-06T00:00:00Z https://hdl.handle.net/1721.1/153482 RAAINS workshop considers the future of artificial intelligence Lincoln Laboratory hosts its fifth-annual workshop focused on AI for national security. 2024-02-09T00:00:00Z https://hdl.handle.net/1721.1/153481 Researchers release open-source space debris model The MIT Orbital Capacity Assessment Tool lets users model the long-term future space environment. 2024-02-09T00:00:00Z https://hdl.handle.net/1721.1/138806 Lincoln Laboratory Supercomputing Center 5th Anniversary The Lincoln Laboratory Supercomputing Center (LLSC) celebrated a significant anniversary in 2021, marking five years of the center’s mission to enhance the computing power available to the Laboratory, MIT, and other researchers. This 5th anniversary compendium of articles written by the dedicated staff at the Lincoln Laboratory Bulletin, MIT News, and other writers is a testament to the continuing impact and potential of supercomputing to advance science and engineering. 2022-01-04T00:00:00Z https://hdl.handle.net/1721.1/131134 MIT Lincoln Laboratory Supercomputing Center Innovations The Lincoln Laboratory Supercomputing Center (LLSC) merges traditional HPC and Big Data technologies in an interactive on-demand parallel computing environment.By augmenting the processing power of desktop systems with high performance computational clusters, the LLSC enables researchers to develop and enhance algorithms for sensor data processing, high-fidelity simulations, and data science. 2021-07-27T00:00:00Z https://hdl.handle.net/1721.1/128488 MIT Lincoln Laboratory Supercomputing Center Brochure The Lincoln Laboratory Supercomputing Center (LLSC) was established to better address supercomputing needs across all Laboratory missions, develop new supercomputing capabilities and technologies, and spawn even closer collaborations with MIT campus supercomputing initiatives. The center has a unique focus on interactive supercomputing for high-performance data analysis, and is located in an extremely ‘green’ computing center in Holyoke, Massachusetts, allowing our computers to run 100% carbon free. 2018-09-20T00:00:00Z