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.
Featured Facility
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Learn more about Intelligent Systems CenterIntelligent Systems Center →
The Intelligent Systems Center (ISC) leverages APL’s broad expertise across national security, space exploration, and health to fundamentally advance the employment of intelligent systems for our nation’s critical challenges. The ISC acts as a focal point for research and development in artificial intelligence, robotics, and neuroscience at APL.
Related Projects
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![Robotics researchers Craig Knuth and Adam Polevoy test machine learning algorithms for estimating traversable regions in complex environments. Such algorithms are necessary to enable robotic systems to autonomously traverse complex terrain.]()
Learn more about Agile and Intelligent RobotsAgile and Intelligent Robots
Developing novel controls for robotic systems operating safely in complex environments. -
![AlphaDogfight]()
Learn more about AlphaDogfight TrialsAlphaDogfight 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. -
![ISC researchers Elizabeth Reilly and Jason Lee apply mathematical models to understand how different shocks impact food security.]()
Learn more about Artificial Intelligence for Climate ActionArtificial Intelligence for Climate Action
Leveraging the power of artificial intelligence and mathematics to spur innovation and novel solutions to challenges at the intersection of climate change and national security. -
![Climate Security]()
Learn more about Climate SecurityClimate 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. -
![DART crashing into an asteroid]()
Learn more about Double Asteroid Redirection Test (DART)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. -
![Golden Horde]()
Learn more about Golden HordeGolden Horde
Achieving networked, collaborative offensive weapons systems that will learn from their environment and autonomously work together to defeat integrated air and missile defenses. -
![Erik Johnson, a machine learning researcher at Johns Hopkins APL, demonstrating how agents are evaluated for lifelong learning on ISC-developed L2Explorer.]()
Learn more about Lifelong Learning MachinesLifelong Learning Machines
Enabling intelligent systems that continuously adapt to changing conditions and missions in the real world. -
![Optical physicist Michael Fitch models a prototype high-density diffuse optical imaging system, described in JJ Wathen et al. 2021.]()
Learn more about Neural InterfacesNeural Interfaces
Directly interfacing with the nervous system to connect humans with intelligent systems. -
![Raphael Norman-Tenazas, neuro-AI researcher, tests a robot navigation strategy inspired by the fruit fly connectome.]()
Learn more about Neuroscience-Inspired Artificial IntelligenceNeuroscience-Inspired Artificial Intelligence
Developing next-generation learning algorithms that draw inspiration from biological nervous systems to revolutionize intelligent systems. -
![Neil Fendley, machine learning researcher, demonstrates a backdoor adversarial attack he embedded in a computer vision application.]()
Learn more about Robust and Resilient Artificial IntelligenceRobust and Resilient Artificial Intelligence
Developing intelligent systems for missions characterized by uncertain and adversarial environments. -
![Swarming unmanned surface vehicles]()
Learn more about Swarming Uncrewed Surface VehiclesSwarming 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. -
![Autonomous swarming unmanned surface vessels (SUSVs) — equipped with Johns Hopkins APL-developed hardware and autonomy software]()
Learn more about Uncrewed Surface Vessel PerceptionUncrewed 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.
Related News
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![James Adams]()
Learn more about Johns Hopkins APL’s Adams Named to Federal 100 List for Service to NationNews
Mar 25, 2024Johns Hopkins APL’s Adams Named to Federal 100 List for Service to Nation
James Adams, a senior advisor in APL’s National Security Analysis Department, has been named to the Federal 100 this year. -
![Composite image. The image on the left shows a molecular biologist. The image on the right shows oceanographers.]()
Learn more about Johns Hopkins APL Honored Twice on Fast Company’s 2024 ‘Most Innovative Companies’ ListPress Release
Mar 19, 2024Johns Hopkins APL Honored Twice on Fast Company’s 2024 ‘Most Innovative Companies’ List
Two breakthrough technologies from APL received Most Innovative Companies awards from Fast Company. APL was ranked No. 6 in the Rapid Response category for biothreat characterization technology and No. 10 in the Applied Artificial Intelligence (AI) category for its use of AI to identify climate tipping points. -
![Harold Lee, George Coles, and Alfred Mayalu]()
Learn more about Three Johns Hopkins APL Staff Members Honored for STEM ExcellenceNews
Mar 13, 2024Three Johns Hopkins APL Staff Members Honored for STEM Excellence
Three APL staff members received honors for excellence in science, technology, engineering and mathematics (STEM) as a part of the Black Engineer of the Year Awards (BEYA) at the 2024 BEYA STEM Conference, held Feb. 15-17. -
![Artificial intelligence (Credit: Bigstock)]()
Learn more about Johns Hopkins APL Joins National AI Safety ConsortiumPress Release
Mar 8, 2024Johns Hopkins APL Joins National AI Safety Consortium
APL has joined the U.S. AI Safety Institute Consortium, the first such group dedicated to promoting the development and deployment of artificial intelligence technologies with an emphasis on safety, reliability and ethical standards. -
![Pedro Rodriguez, Lou Colangelo, Chrisopher Maier, and Jane Pinelis]()
Learn more about Assistant Secretary of Defense Maier Visits Johns Hopkins APLPress Release
Mar 8, 2024Assistant Secretary of Defense Maier Visits Johns Hopkins APL
Assistant Secretary of Defense for Special Operations and Low-Intensity Conflict Christopher Maier visited APL’s research facilities and received briefings on artificial intelligence initiatives.
