Lincoln Laboratory

Auto Added by WPeMatico

Lifesaving Lincoln Laboratory device wins 2026 Excellence in Technology Transfer Award

ai, AI (Artificial Intelligence), Artificial Intelligence, Awards, honors and fellowships, Health sciences and technology, Industry, Invention, Lincoln Laboratory, Medical devices, Medicine, MIT intellectual property, National Institutes of Health (NIH), Startups, U.S. Armed Forces

The Federal Laboratory Consortium (FLC) selected AI-GUIDE, a medical device developed by MIT Lincoln Laboratory and Massachusetts General Hospital (MGH), for its 2026 Excellence in Technology Transfer Award. This award recognizes federal laboratories and collaborators who have accomplished outstanding work in the process of transferring technology. With funding from the U.S. Army’s Combat Casualty Care […]

Lifesaving Lincoln Laboratory device wins 2026 Excellence in Technology Transfer Award Read More »

MIT Quantum Initiative launches postdoctoral fellowship program

ai, AI (Artificial Intelligence), Algorithms, Artificial Intelligence, Awards, honors and fellowships, Biology, Chemistry, DMSE, Electrical engineering and computer science (EECS), Graduate, postdoctoral, Lincoln Laboratory, Materials science and engineering, MIT Schwarzman College of Computing, MIT-Harvard Center for Ultracold Atoms, Physics, Quantum Computing, Quantum physics, Research, Research Laboratory of Electronics, School of Engineering, School of Science

The MIT Quantum Initiative (QMIT) has launched a new postdoctoral fellowship program to accelerate interdisciplinary quantum research and develop the next generation of scientific leaders working at the frontiers of quantum science and technology.Supported by a grant from the Gordon and Betty Moore Foundation, the program reflects QMIT’s vision of expanding the boundaries of quantum science

MIT Quantum Initiative launches postdoctoral fellowship program Read More »

Can AI build a jet engine? JARVIS Challenge tests role of AI copilots in tough-tech engineering

3-D printing, Aeronautical and astronautical engineering, ai, AI (Artificial Intelligence), Aircraft, Artificial Intelligence, Classes and programs, Contests and academic competitions, Design, Education, teaching, academics, Independent Activities Period, Lincoln Laboratory, Logistics, Machine Learning, Mechanical engineering, Robotics, School of Engineering, STEM education, Students, Undergraduate

Artificial intelligence has rapidly transformed software engineering. Generative AI and large language models (LLMs) can create huge volumes of code and documentation; machine-learning algorithms can monitor performance and detect security vulnerabilities. But when the task is to conceive, design, and make a complex physical system such as a jet engine, are those AI tools equally

Can AI build a jet engine? JARVIS Challenge tests role of AI copilots in tough-tech engineering Read More »

How novice coders can develop AI programs for military applications

ai, AI (Artificial Intelligence), Artificial Intelligence, Computer science and technology, Lincoln Laboratory, Programming, Research, Security and military studies, Software, U.S. Armed Forces

In today’s world, artificial intelligence chatbots such as ChatGPT and Claude can perform many functions, such as composing work emails and planning travel itineraries. These chatbots are systems built around large vision-language models (VLMs): AI trained on a massive dataset that includes books, websites, code, and images. The AI algorithms are then refined on massive amounts

How novice coders can develop AI programs for military applications Read More »

Human-machine teaming dives underwater

ai, AI (Artificial Intelligence), Algorithms, Artificial Intelligence, Autonomous Underwater Vehicles (AUV), Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical engineering and computer science (EECS), Human-computer interaction, Lincoln Laboratory, Machine Learning, MIT Schwarzman College of Computing, Oceanography and ocean engineering, Research, Robotics, School of Engineering, Sensors

The electricity to an island goes out. To find the break in the underwater power cable, a ship pulls up the entire line or deploys remotely operated vehicles (ROVs) to traverse the line. But what if an autonomous underwater vehicle (AUV) could map the line and pinpoint the location of the fault for a diver

Human-machine teaming dives underwater Read More »

Featured video: Coding for underwater robotics

ai, AI (Artificial Intelligence), Algorithms, Artificial Intelligence, Autonomous Underwater Vehicles (AUV), Lincoln Laboratory, Programming, Robotics, Students, Woods Hole

During a summer internship at MIT Lincoln Laboratory, Ivy Mahncke, an undergraduate student of robotics engineering at Olin College of Engineering, took a hands-on approach to testing algorithms for underwater navigation. She first discovered her love for working with underwater robotics as an intern at the Woods Hole Oceanographic Institution in 2024. Drawn by the

Featured video: Coding for underwater robotics Read More »

Responding to the climate impact of generative AI

Algorithms, Artificial Intelligence, Climate change, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical engineering and computer science (EECS), Emissions, Energy, Energy storage, infrastructure, Lincoln Laboratory, Machine Learning, MIT Energy Initiative, MIT Schwarzman College of Computing, MIT Sloan School of Management, Research, School of Engineering, Supercomputing, Sustainable computing

In part 2 of our two-part series on generative artificial intelligence’s environmental impacts, MIT News explores some of the ways experts are working to reduce the technology’s carbon footprint.The energy demands of generative AI are expected to continue increasing dramatically over the next decade.For instance, an April 2025 report from the International Energy Agency predicts that the global

Responding to the climate impact of generative AI Read More »

Lincoln Lab unveils the most powerful AI supercomputer at any US university

Artificial Intelligence, cybersecurity, Department of Defense (DoD), Energy, Haystack Observatory, Human-computer interaction, Lincoln Laboratory, Supercomputing

The new TX-Generative AI Next (TX-GAIN) computing system at the Lincoln Laboratory Supercomputing Center  (LLSC) is the most powerful AI supercomputer at any U.S. university. With its recent ranking from  TOP500, which biannually publishes a list of the top supercomputers in various categories, TX-GAIN joins the ranks of other powerful systems at the LLSC, all supporting

Lincoln Lab unveils the most powerful AI supercomputer at any US university Read More »