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]()
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. -
![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. -
![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. -
![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. -
![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.
Related News
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![A scientist uses a pipette to drop a sample into a petri dish]()
Learn more about Johns Hopkins APL Licenses Powerful Machine-Learning Tools to BullFrog AIPress Release
Mar 29, 2023Johns Hopkins APL Licenses Powerful Machine-Learning Tools to BullFrog AI
Johns Hopkins APL has licensed two powerful machine-learning tools to BullFrog AI, Inc., enabling the company to leverage the software to create life-saving therapies and treatments available to patients quicker. -
![Training Algorithms to Sniff Out Sneaky Fentanyl Clones]()
Learn more about Training Algorithms to Sniff Out Sneaky Fentanyl ClonesNews
Mar 22, 2023Training Algorithms to Sniff Out Sneaky Fentanyl Clones
Chemists and computer scientists at Johns Hopkins APL are teaming up to use machine-learning algorithms to spot fentanyl analogs — molecules designed to mimic the deadly drug’s effects while evading detection. -
![autonomous aircraft]()
Learn more about The Future of Uncrewed Aerial Systems Depends on Public TrustNews
Feb 22, 2023The Future of Uncrewed Aerial Systems Depends on Public Trust
While technological advances will play a central role in enabling commercial uncrewed aircraft systems, the successful implementation of these systems will depend more on public confidence than on any technical achievement. -
![A fixed-wing UAV completes a maneuver during testing at APL.]()
Learn more about Johns Hopkins APL Provides Autonomous Collision Avoidance Technology for Fixed-Wing UAVsPress Release
Jan 5, 2023Johns Hopkins APL Provides Autonomous Collision Avoidance Technology for Fixed-Wing UAVs
APL researchers have given aerobatic fixed-wing unmanned aerial vehicles (UAVs) the ability to autonomously navigate complex environments using onboard sensing, a first-of-its-kind achievement. -
![Robotics and autonomous systems]()
Learn more about Johns Hopkins APL Engineer Helps Launch Unique Online Robotics and Autonomous Systems Graduate ProgramPress Release
Dec 21, 2022Johns Hopkins APL Engineer Helps Launch Unique Online Robotics and Autonomous Systems Graduate Program
Johns Hopkins Engineering for Professionals, a collaboration between APL and the Johns Hopkins Whiting School of Engineering (WSE), has launched one of the only fully online Robotics and Autonomous Systems master’s programs in the nation, offered within WSE’s Engineering for Professionals program.
