The high-flying unmanned aerial vehicle has been above Arizona for more than a month, living on batteries, solar power and a prayer.

When communication lines are open, individual agents such as robots or drones can work together to collaborate and complete a task. But what if they aren’t equipped with the right hardware or the signals are blocked, making communication impossible? University of Illinois Urbana-Champaign researchers started with this more difficult challenge. They developed a method to train multiple agents to work together using multi-agent reinforcement learning, a type of artificial intelligence.
“It’s easier when agents can talk to each other,” said Huy Tran, an aerospace engineer at Illinois. “But we wanted to do this in a way that’s decentralized, meaning that they don’t talk to each other. We also focused on situations where it’s not obvious what the different roles or jobs for the agents should be.”
Tran said this scenario is much more complex and a harder problem because it’s not clear what one agent should do versus another agent.
How do you teach an autonomous drone to fly itself? Practice, practice, practice. Now Microsoft is offering a way to put a drone’s control software through its paces millions of times before the first takeoff.
The cloud-based simulation platform, Project AirSim, is being made available in limited preview starting today, in conjunction with this week’s Farnborough International Airshow in Britain.
“Project AirSim is a critical tool that lets us bridge the world of bits and the world of atoms, and it shows the power of the industrial metaverse — the virtual worlds where businesses will build, test and hone solutions, and then bring them into the real world,” Gurdeep Pall, Microsoft corporate vice president for business incubations in technology and research, said today in a blog posting.
This new AI-powered drone can resist strong winds and continue its flight thanks to a deep-learning technique created by Caltech engineers.
The amphibious assault ship USS Essex can print parts on demand, reducing the need for inventory.
One of the U.S. Navy’s largest warships is now rocking a 3D printer, allowing the crew to quickly crank out replacement parts for drones. The service hopes that additive manufacturing technology will allow it to save time and money, reducing the need to stock spare parts on hand, especially when a ship is at sea. It believes that 3D printers could someday become standard issue on every warship.
EPFL researchers have used swarms of drones to measure city traffic with unprecedented accuracy and precision. Algorithms are then used to identify sources of traffic jams and recommend solutions to alleviate traffic problems.
Given the wealth of modern technology available—roadside cameras, big-data algorithms, Bluetooth and RFID connections, and smartphones in every pocket—transportation engineers should be able to accurately measure and forecast city traffic. However, current tools advance towards the direction of showing the symptom but systematically fail to find the root cause, let alone fix it. Researchers at EPFL utilize a monitoring tool that overcomes many problems using drones.
“They provide excellent visibility, can cover large areas and are relatively affordable. What’s more, they offer greater precision than GPS technology and eliminate the behavioral biases that occur when people know they’re being watched. And we use drones in a way that protects people’s identities,” says Manos Barmpounakis, a post-doc researcher at EPFL’s Urban Transport Systems Laboratory (LUTS).
The U.S. announced on Friday a new $820 million Ukraine military aid that includes the National Advanced Surface-to-Air Missile System (NASAMS). The Pentagon contract denotes the start of a contracting process for a significant amount of equipment, including four more counter-artillery radars and up to 150,000 rounds of 155mm artillery ammunition, through the Ukraine Security Assistance Initiative.
NASAMS can be quite an unpleasant adversary for tactical aircraft (possibly with the exception of the Su-57), helicopters, drones, subsonic cruise missiles (Caliber, Kh-101, 9M728). Against high-speed targets (from Oniks to Kinzhal) the benefit of this system seems doubtful.
5/— Dmitry Stefanovich (@KomissarWhipla) July 1, 2022
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Future battlefields will employ ever-more technology, whether that battlefield is on earth, in the sea, in space, or in cyberspace. Today we will examine the roles robots, drones, artificial intelligence, armored suits, and nanotech may play in the future of war.
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Credits:
The Next Century of War.
Science & Futurism with Isaac Arthur.
Episode 280; March 4, 2021
Produced & narrated by isaac arthur.
Written by: