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Beeyond Ideas follows the viewpoint of Harry, a human-AI synthesis from the 22nd century. Someday in 2123, he found a way to access the secret old database of information or the “2023 Internet” as we know it.

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Transparent aluminum oxide (TAlOx), a real material despite its sci-fi name, is incredibly hard and resistant to scratches, making it perfect for protective coatings on electronics, optical sensors, and solar panels. On the sci-fi show Star Trek, it is even used for starship windows and spacefaring aquariums.

Current methods of making TAlOx are expensive and complicated, requiring high-powered lasers, vacuum chambers, or large vats of dangerous acids. That may change thanks to research co-authored by Filipino scientists from the Ateneo de Manila University.

Instead of immersing entire sheets of metal into acidic solutions, the researchers applied microdroplets of acidic solution onto small aluminum surfaces and applied an electric current. Just two volts of electricity—barely more than what’s found in a single AA household flashlight battery—was all that was needed to transform the metal into glass-like TAlOx.

In this video, we delve into The Future of Electronic Warfare, exploring how advancements in AI, drone swarms, and cyber integration are reshaping military strategies. Historically, electronic warfare (EW) began with basic communication interception in World War I and evolved through World War II with techniques like radar jamming. Today, we stand at the brink of a new era where technology significantly enhances operational capabilities.

The Evolution of Drone Swarms.

Recent developments have seen the emergence of AI-powered drone swarms, which offer unprecedented adaptability and efficiency on the battlefield. For instance, Thales’s COHESION demonstrator showcases how these swarms can operate autonomously, reducing the cognitive load on human operators while maintaining control during critical mission phases. Unlike traditional systems that require one operator per drone, these advanced systems leverage AI to allow multiple drones to work collaboratively, enhancing surveillance and attack capabilities across vast terrains.

Key features of ai-powered drone swarms.

Scientists have built a new type of robotic insect that can fly 100 times longer than previous generations.

The right sounds can also disable their cameras.

The company also says that it can prove to be equally useful in the open seas, where it can help in ISR, search and rescue, and other missions.

“Imagine, I can upload the mission in a second, throw it from here, forget about it, and it will strike a high-value target (HVT) 40 miles away – fast, accurate, and quiet,” said Alexander Balan, XDown founder, in a post on LinkedIn.

XDown estimates that the cost of the PSK will be fairly competitive, making it a lucrative offering for the US armed forces. The price and its formal launch date is yet to be announced.

Pipistrel Aircraft has announced the successful completion of the first hover flight for its Nuuva V300, a hybrid-electric vertical takeoff and landing (VTOL) unmanned aircraft designed for long-range logistics and specialized defense operations.

The milestone brings the company closer to deploying its autonomous cargo drone, which promises to revolutionize aerial deliveries with a 600-pound payload capacity and a 300-nautical-mile range.

The Nuuva V300 represents a leap forward in hybrid-electric propulsion, combining eight battery-powered electric motors for vertical takeoff with an internal combustion engine for forward flight. This dual-power system enhances fuel efficiency, minimizes maintenance costs, and provides greater operational flexibility. The aircraft’s design allows it to carry up to three Euro pallets (EPAL) through a nose-loading fuselage, offering a streamlined solution for cargo logistics, humanitarian aid, and defense applications.

Engineers have developed SUPER, a high-speed MAV, using 3D LiDAR and AI for real-time obstacle avoidance, cutting failure rates 35.9 times.

Drone show accidents highlight the challenges of maintaining safety in what engineers call “multiagent systems” — systems of multiple coordinated, collaborative, and computer-programmed agents, such as robots, drones, and self-driving cars.

Now, a team of MIT engineers has developed a training method for multiagent systems that can guarantee their safe operation in crowded environments. The researchers found that once the method is used to train a small number of agents, the safety margins and controls learned by those agents can automatically scale to any larger number of agents, in a way that ensures the safety of the system as a whole.

Researchers tested whether one person could command a robot swarm of drones and ground vehicles in complex missions.