Notable Technical Inquiry

What group 1 and 2 unmanned aircraft systems (UASs) are marketed and/or designed for weapons deployment?

DSIAC was tasked with determining different methods that have been employed to weaponize group 1 and 2 UASs. Through open-source news articles and publications, DSIAC compiled various methods of mounting guns, launchers, and munitions to drones, as well as different efforts to advance loitering munition technologies. While some of the technologies were either developed or funded by the U.S. military, many of the technologies and modifications came from either nations or nonstate actors actively engaged in modern warfare tactics overseas.…

Voice From The Community

Christopher Menart

Research Computer Scientist, U.S. Air Force Research Lab (AFRL)

I have worked with AFRL on deep learning for autonomy and automatic target recognition since my graduation from Ohio State University in 2018. I lead contractor research efforts on adversarial signals, robustness, and data efficiency. I also conduct research into new forms of neural architectures, which I will continue when I enter the Civilian Academic Development Program to pursue a Ph.D. in the spring of 2021. My goal is deep-learning systems capable of incremental, general-purpose learning from many sources of information, suitable for the open-ended and evolving domains in which we expect to deploy machine learning in the future.

In This Issue

U.S. Department of Defense (DoD) Uses 3-D Printing to Create N95 Respirators

In response to the COVID-19 pandemic, the U.S. Army Medical Materiel Development Activity’s (USAMMDA’s) Warfighter Expeditionary Medicine and Treatment Project Management Office (WEMT […]

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