Defense News on MSN
Army seeks high-energy laser systems to kill drone swarms
The new laser systems are expected to take out intelligence and surveillance drones, as well as those that can carry ...
China's state-owned defense giant Norinco in February unveiled a military vehicle capable of autonomously conducting ...
Spanish armed forces have successfully tested integrating small drones with manned rotorcraft, including navy H135s paired ...
The battlefield is about to drown in cheap, buzzing machines, and the Army is betting its future on swarms that die by the dozen so soldiers don’t have to.
Sanket and his students found their answer in bats and the winged mammal’s highly sophisticated ability to echolocate, or ...
The National Interest on MSN
Did China Just Perfect a “Soft-Kill” Counter-Drone System?
Many nations are working to develop “soft-kill” countermeasures against drones, which rely on disabling them through electronic interference rather than physically shooting them down.
The National Interest on MSN
Lithuania Is Testing New Weapons to Take Down Russian Drone Swarms
Lithuania’s recent experimentation comes shortly after the country adopted a law granting its military the authority to shoot down hostile drones in its airspace.
The National Interest on MSN
Europe Is Building a Laser Weapon to Shoot Down Drone Swarms
Much remains unknown about the European laser defense system—including its effective range, its vulnerability to weather ...
Interesting Engineering on MSN
World’s most affordable military laser can shoot down 200 drones in single blast
Australian defense company Electro Optic Systems (EOS) has recently unveiled the world’s most affordable high-energy laser ...
Defense developers are creating micro drones that can fly undetected, provide real-time intelligence, and potentially take on new roles in future conflicts.
The University of Minnesota project is the latest research into using artificial intelligence to detect and track wildfires. The work has become more urgent as climate change is expected to make ...
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