![Wayne Sternberger (above) receives the Archimedes Award during a ceremony in February](/sites/default/files/2023-01/20201006_image1_lg.jpg)
Press Release
Oct 6, 2020
Johns Hopkins APL Signs Licensing Agreement with Sternberger’s BLOCKsynop
The first winner of the Archimedes Award, Wayne Sternberger, signed a licensing agreement with APL’s Tech Transfer Office for his newly formed company, BLOCKsynop, to begin commercializing a neural blockade monitor.
![Traveler walks through airport](/sites/default/files/2023-01/20201005_image1_med.jpg)
News
Oct 5, 2020
Johns Hopkins APL’s SABR Simulations Give TSA Cutting-Edge Tech
Imagine an airport security zone where there's no lines, no traditional scanner, no pat-down. It might sound like security measures have been seriously relaxed, but really, they are more effective than ever – and everyone even keeps their shoes on.
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Press Release
Sep 29, 2020
Johns Hopkins APL Goes Virtual to Honor 2019’s Top Innovation and Staff Achievements
The annual APL Achievement Awards ceremony, held Tuesday, Sept. 8, highlighted the technical, innovative achievements of staff members from 2019. But it also presented a unique opportunity: to create a compelling interactive format for people to enjoy safely from the comfort of home.
![Hospital](/sites/default/files/2023-01/20200928_image1_lg.jpg)
Press Release
Sep 28, 2020
Better and Safer Care: Johns Hopkins APL Leads Effort to Improve Performance of Medical Device Systems
APL is leading the development of a technical framework to guide organizations and industry in developing interoperable, safe, effective and secure medical systems that will deliver the next generation of medical care, in addition to providing a framework for implementing remote and autonomous care where appropriate.
![Greg Quiroz (third from left) with interns Reem Larabi, Joseph Boen, Devon Williams, Jake Klein and Lina Tewala.](/sites/default/files/2023-01/20200922_image1_lg.jpg)
Press Release
Sep 22, 2020
Training a Dragon: Protecting Quantum Algorithms on ‘Noisy’ Computers
For years, APL has applied its expertise to protecting quantum computers from a challenging issue called decoherence, errors that arise when the building blocks of quantum computing lose information to their environment. Researchers are now testing strategies for combating these errors to improve the performance of quantum algorithms on noisy intermediate-scale quantum computers.
![First responder](/sites/default/files/2023-01/20200911_image1_med.jpg)
Press Release
Sep 11, 2020
Johns Hopkins APL to Cohost Virtual Workshop on 5G Technologies for Tactical and First Responder Networks
APL is joining with IEEE and the Department of Homeland Security’s Science and Technology Directorate on Oct. 23 to host a virtual workshop on 5G technologies for technical and first responders; registration is open now.
![Quantum: Imagine the Impact](/sites/default/files/2023-01/20200910_image1_med.jpg)
Press Release
Sep 10, 2020
Registration Open for ‘Quantum: Imagine the Impact’; Oct. 22-23
APL’s third annual Research Frontiers Forum, “Quantum: Imagine the Impact,” will integrate the perspectives of academia, industry and government, first imagining a future transformed by revolutionary and accessible quantum technology and then shifting our focus to identifying strategies today to create our quantum future.
![Christine Fox and Thayer Scott](/sites/default/files/2023-01/20200910b_image1_cover.jpg)
Press Release
Sep 10, 2020
COVID-19 and World Order: The Future of Conflict, Competition, and Cooperation
The COVID-19 pandemic has profoundly impacted global public health and the world economy, but its consequences potentially go much further — threatening democratic values and the fabric of national and international politics.
![Doctor looks at a computer screen](/sites/default/files/2023-01/20200908_image1_lg.jpg)
Press Release
Sep 8, 2020
Johns Hopkins APL, Medicine Researchers Apply Data Fusion to Improve Breast Cancer Detection
Researchers at APL are collaborating with radiologists from Johns Hopkins Medicine to develop an upstream data fusion (UDF) method — leveraging artificial intelligence — that promises to significantly improve the accuracy of breast cancer screening.
![The result of a leaf segmentation algorithm showing identified leaves in green overlaid on a rendering of an original X-ray computed tomography scan](/sites/default/files/2023-01/20200904_image1_lg.jpg)
Press Release
Sep 4, 2020
Johns Hopkins APL Researchers Plant Ideas for Building Better Biological Sensors
In a recent article in Plant Phenome Journal, APL scientists describe the development of a method for scanning plants without destroying them — using computerized tomography — to collect data on how they grow, and the creation of an algorithm to extract important plant-response metrics.