Lincoln Laboratory
Lincoln Laboratory

Lincoln Laboratory

Artificial Intelligence Climate Computer modeling Electrical Engineering & Computer Science (eecs) Energy Funding Grants Laboratory for Information and Decision Systems (LIDS) Lincoln Laboratory machine learning MIT Schwarzman College of Computing School of Engineering

Generative AI for smart grid modeling

MIT LIDS awarded funding from the Appalachian Regional Commission as part of a multi-state collaborative project to model and test new smart grid technologies for use in rural areas.

Administration Artificial Intelligence Center for International Studies Collaboration Community cybersecurity Department of Defense (DoD) Department of Political Science Leadership Lincoln Laboratory machine learning School of Engineering School of Humanities Arts and Social Sciences Security studies and military Staff

Eric Evans to step down as director of MIT Lincoln Laboratory

During 18 years of leadership, Evans established new R&D mission areas, strengthened ties to the MIT community, and increased inclusion and education efforts.

Artificial Intelligence Computer science and technology Electrical Engineering & Computer Science (eecs) Human-computer interaction Lincoln Laboratory Research Robotics

A method to interpret AI might not be so interpretable after all

Some researchers see formal specifications as a way for autonomous systems to “explain themselves” to humans. But a new study finds that we aren’t understanding.

Artificial Intelligence Cleaner industry Computer science and technology computer-vision Energy Lincoln Laboratory machine learning Sustainability

New tools are available to help reduce the energy that AI models devour

Amid the race to make AI bigger and better, Lincoln Laboratory is developing ways to reduce power, train efficiently, and make energy use transparent.

Artificial Intelligence Awards, honors and fellowships cybersecurity Imaging Invention Lincoln Laboratory Medical devices Photonics Quantum Computing Security studies and military

Four Lincoln Laboratory technologies win five 2023 R&D 100 awards

Inventions in medical imaging, aircrew scheduling, data security, and quantum networking are named among the year’s most innovative new products.

Aeronautical and astronautical engineering Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical Engineering & Computer Science (eecs) Lincoln Laboratory machine learning Mechanical engineering MIT Schwarzman College of Computing National Science Foundation (NSF) Research Robotics Robots School of Engineering

AI helps robots manipulate objects with their whole bodies

With a new technique, a robot can reason efficiently about moving objects using more than just its fingertips.

Artificial Intelligence Climate change computer-vision Data Imaging Lincoln Laboratory open source Research Security studies and military sensors Staff

A new dataset of Arctic images will spur artificial intelligence research

The dataset, being collected as part of a US Coast Guard science mission, will be released open source to help advance naval mission planning and climate change studies.

Aeronautical and astronautical engineering Artificial Intelligence Autonomous vehicles Computer science and technology Drones Laboratory for Information and Decision Systems (LIDS) Lincoln Laboratory machine learning MIT Schwarzman College of Computing Research Robotics Robots School of Engineering

A step toward safe and reliable autopilots for flying

A new AI-based approach for controlling autonomous robots satisfies the often-conflicting goals of safety and stability.

Agriculture Artificial Intelligence Carbon dioxide Civil and environmental engineering Climate Climate change Computer science and technology Faculty Food J-WAFS Lincoln Laboratory machine learning Plants Profile Research Satellites School of Engineering sensors Water

Detailed images from space offer clearer picture of drought effects on plants

J-WAFS researchers are using remote sensing observations to build high-resolution systems to monitor drought.