News Releases

The Johns Hopkins APL-led team working on the first rotorcraft designed for scientific exploration on another ocean world has passed its Critical Design Review, a major milestone confirming that Dragonfly’s design is mature and the team can turn its attention to construction and testing of the spacecraft itself.

Scientists at Johns Hopkins APL have demonstrated a working capability that can radically accelerate the testing of critical quantum computing components, accomplishing in a matter of minutes what has previously taken days or even weeks.

Lunar experts at APL have developed a new resource to guide technology developers who are creating systems designed to withstand the rigors of the Moon’s surface.

Dave Van Wie has been selected to lead Johns Hopkins APL as its next director. Van Wie, currently the Air and Missile Defense Sector Head at APL, is a distinguished leader and scholar whose groundbreaking contributions to national defense and aerospace engineering have significantly advanced our nation’s security. His appointment is effective July 14.

A team from APL played a central role in a recent Defense Department wargame that addressed the challenges of protecting logistics infrastructure against growing adversarial threats.

Johns Hopkins APL researchers are advancing robotic perception by using artificial intelligence to equip autonomous agents with the capacity to make sense of unstructured environments — and make plans just like humans.

APL and Microsoft are partnering to advance robotics and materials discovery by leveraging artificial intelligence (AI).

The innovative team of engineers and scientists from NASA, Johns Hopkins APL and more than 40 other partner organizations across the country that created the revolutionary Parker Solar Probe has been awarded the 2024 Robert J. Collier Trophy by the National Aeronautic Association.

Under the nighttime California sky, NASA’s Electrojet Zeeman Imaging Explorer (EZIE) launched aboard a SpaceX Falcon 9 rocket on March 14.

Johns Hopkins researchers have leveraged artificial intelligence to uncover faster, more efficient ways to manufacture titanium alloy parts while maximizing mechanical performance.