Technology Office

Investments cultivated and managed by the Technology Office support the development of new Mission Critical Technology for national security. Impactful projects in Emerging Technology, many of which take a decade or more to come to fruition, push the very frontiers of technology development. We also focus on fostering Innovation and Collaboration, both of which are essential to sustaining long-term technical excellence and relevance. The Artificial Intelligence Group, under the direction of the Technology Office, was recently established to advance R&D in AI being conducted across all Laboratory areas to expand capabilities to meet a broad spectrum of needs. We are also leading a Laboratory-wide effort to advance Climate Change Technology for National Security.

Mission Critical Technology
Emerging Technology
Innovation and Collaboration
Artificial Intelligence Technology
Climate Change Technology for National Security

The Technology Office enables the development of technologies that address long-term challenges and emerging issues within Lincoln Laboratory’s core mission areas. To maintain an awareness of evolving national security problems and applicable technologies, the office interacts regularly with the Office of the Under Secretary of Defense for Research and Engineering and other government agencies.

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The Technology Office promotes research and development of new technologies and engineering solutions of growing relevance to national security. Staff are working at the frontiers of technology to transfer the latest advances to the Laboratory’s mission areas. Some investments, such as quantum information systems, may take years to come to fruition. In areas of increasing importance to the nation, such as energy and autonomy, the Laboratory is taking a lead role.

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Our group develops fundamental and enabling artificial intelligence (AI) technologies to solve complex challenges and advance AI for the nation. Current research areas include applying AI to fuel scientific discovery of materials and biomaterials; exploring network science and its applications; employing AI as a teammate in making decisions; developing technology to increase trust in AI; and investigating the broad area of responsible AI and ethics.

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Caption:This artist rendering shows the researchers' superconducting qubit architecture, with the fluxonium qubits in red and the blue, transmon coupler in between them.

In the Media

New qubit circuit enables quantum operations with higher accuracy

Sep 29

MIT news

An illustration showing many repeating icons of a human face and a "robotic" face

A method to interpret artificial intelligence might not be so interpretable after all

Sep 25

A photo of a hallway between two rows of data center servers. Two researchers are working on the servers.

AI models are devouring energy. Tools to reduce consumption are here, if data centers will adopt.

Sep 22

More News

A flow chart showing how audio signals are processed to create features for algorithms to distinguish between signals from cargo, passenger, tanker, and tug ships.

undersea technology

Combining Neural Networks and Histogram Layers for Underwater Target Classification

New machine learning methods capture statistical features within sonar data to distinguish between sound sources.

A diver and autonomous underwater vehicle swim underwater to identify an object (mine).

undersea technology

Underwater PB&J: Combining Diver and Robot Strengths for Optimized Mid-Mission Teaming

New navigation and vehicle autonomy algorithms consider which tasks humans and autonomous systems respectively do best, with the goal of improving search path planning and object classification in underwater environments.

A schematic of a burning building with firefighters, firetrucks, and uncrewed aerial vehicles on the scene. Arrows link between them, each within concentric circles, to signify a radio-frequency network.

navigation systems

Radio-Based Navigation for Environments Without GPS

With the goal of enabling navigation in environments where GPS is unavailable or unreliable, researchers are developing algorithms to fuse information across a network of small, low-power radio-frequency devices.