Lincoln Laboratory

Auto Added by WPeMatico

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

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

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

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

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

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

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 »