An APL engineer modifies a robot to test  its navigation algorithms

Artificial Intelligence

Engineering with intelligence

Designing, building, and applying new technologies—especially those that include artificial intelligence—can be a double-edged sword: powerful and enabling on the one hand, but potentially biased and vulnerable to infiltration on the other.

From national security to planetary defense and health care, Johns Hopkins APL continues to make advances in AI to ensure the technology’s capabilities while identifying, minimizing, or eliminating its weaknesses.

A Laboratory-wide collaborative community of AI researchers and applied scientists works in domains from beneath the sea to outer space to innovatively incorporate autonomy, computer vision, machine learning, agentic AI, and other techniques across the breadth of our programs and projects. Internally funded AI exploration and research help us take bold steps in this realm to continue advancing AI for the good of the nation and the world.

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Related Work

Erik Johnson, a machine learning researcher at Johns Hopkins APL, demonstrating how agents are evaluated for lifelong learning on ISC-developed L2Explorer.

Lifelong Learning Machines

Enabling intelligent systems that continuously adapt to changing conditions and missions in the real world
Learn more about Lifelong Learning Machines
ISC researchers Elizabeth Reilly and Jason Lee apply mathematical models to understand how different shocks impact food security.

AI for Complex Systems

Leveraging the power of artificial intelligence and mathematics to spur innovation and novel solutions to challenges at the intersection of Earth systems and national security
Learn more about AI for Complex Systems
AlphaDogfight

AlphaDogfight Trials

APL served as a core member of the Air Combat Evolution program team created by the Defense Advanced Research Projects Agency (DARPA) for the 2020 AlphaDogfight Trials, a showdown between eight AI research teams from across the United States.
Learn more about AlphaDogfight Trials
Golden Horde

Golden Horde

Achieving networked, collaborative offensive weapons systems that will learn from their environment and autonomously work together to defeat integrated air and missile defenses.
Learn more about Golden Horde
Brain (Credit: Bigstock)

Mapping the Brain

APL led testing and evaluation efforts for IARPA’s MICrONs project, launched to create state-of-the-art machine learning capabilities by discovering how brain circuits process information.
Learn more about Mapping the Brain
Autonomous swarming unmanned surface vessels (SUSVs) — equipped with Johns Hopkins APL-developed hardware and autonomy software

Uncrewed Surface Vessel Perception

International regulations for preventing collisions at sea require vessels to operate within certain distances based on the visual identification of other vessels.
Learn more about Uncrewed Surface Vessel Perception
Swarming unmanned surface vehicles

Swarming Uncrewed Surface Vehicles

APL, in collaboration with the Naval Air Warfare Center Port Hueneme Weapons Division, led a swarming uncrewed surface vehicle demonstration of advanced multivehicle autonomy at tactically relevant speeds.
Learn more about Swarming Uncrewed Surface Vehicles

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