
Artificial Intelligence, Machine Learning, and Autonomy
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 health care to planetary defense and national security, 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, and other AI 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.
Related Projects
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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. -
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. -
Double Asteroid Redirection Test (DART)
NASA’s first planetary defense mission—the APL-led Double Asteroid Redirection Test (DART)—is the first mission to demonstrate what’s known as the kinetic impactor technique, which involves striking an asteroid to shift its orbit and deflect it from Earth. -
Climate Security
Climate change is reshaping nearly every aspect of life on our planet, with significant implications for national security. APL is bringing all of its core competencies to bear on this critical challenge area, exploring strategic opportunities to make the greatest impact on climate change. -
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. -
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.
Related News
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Nov 21, 2023A Career of Taking Risks Earns Johns Hopkins APL Researcher National Data Fusion Award
APL engineer Andy Newman was presented with the Joe Mignogna Data Fusion Award at the Military Sensing Symposia, National Security Sensor and Data Fusion conference. -
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Oct 3, 2023Enabling Military Decision-Making at Operational Tempo
By applying algorithmic approaches used to help robots navigate terrain and perform tasks, scientists at Johns Hopkins APL are enabling the military to automate key facets of tactical decision-making, ensuring the U.S. can maintain its competitive edge well into the future. -
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Sep 13, 2023Johns Hopkins APL Intern Develops Wearable Haptic Prototype
Ben Otter, an intern in APL’s Air and Missile Defense Sector and the Johns Hopkins Institute for Assured Autonomy, has been using his free time to develop a wearable haptic prototype. -
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Sep 7, 2023Johns Hopkins APL Pilots U.S. Joint Forces Orientation Tour for Staff Members
In June, APL piloted a program that featured an orientation tour of U.S. joint force operations for APL staff members. -
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Aug 29, 2023Human-Computer Interactions at Center of One Johns Hopkins APL Internship Experience
Duran Keefe, a 2023 summer intern at APL, knows that people are a key part of any information system.