Ghost imaging is like a game of Battleship. Instead of seeing an object directly, scientists use entangled photons to remove the background and reveal its silhouette. This method can be used to study microscopic environments without much light, which is helpful for avoiding photodamage to biological samples.
Thanks to a military training program that launched in May, two national aerospace companies could be coming to northern Maine.
The Loring Development Authority works to attract business, housing and jobs to Loring’s 3,800 acres. Occupants have included Brunswick-based Green 4 Maine and, most recently, the Taste of Maine Potato Chip Co. The two aviation companies, whose names the authority is not yet releasing, would boost the authority’s plan to bring more aerospace jobs onto the former base. They would also ensure a future for its airport infrastructure, including its famed arch hangar.
The Chinese military is building sophisticated biological weapons and small-scale electronic tools made with nanotechnology that could be used in covert warfare, a major study warns.
“China’s invisible arsenals encompass a range of advanced weaponry that are distinctly focused on providing the Chinese Communist Party with a range of asymmetric warfare options, including the delivery of biological, biochemical and neurobiological weapons on target populations,” according to a report by three open-source intelligence analysts.
The People’s Liberation Army, or PLA, is developing nanoweapons using highly sophisticated microscopic materials that enhance the effects of biological weapons, according to the report, titled “In the Shadows of Science: Unravelling China’s Invisible Arsenals of Nanoweapons.” It was made public earlier this month.
Radar from airports and military systems may expose Earth to alien detection. These signals could be used to find intelligent civilizations. New research indicates that radar systems operated by both civilian airports and military facilities may be unintentionally broadcasting Earth’s presence to
Size matters. Economists have long known that; economies of scale are among the building blocks of their science. In the digital era, it quickly became apparent that value was directly proportional to the size of the network (the number of users linked by a particular technology or system).
The race to create scale is critical amid the sizzling geopolitical competition over leadership in new technologies. It has assumed even greater urgency in Western capitals in the wake of China’s success in that race. They’ve had to reconceptualize scale to overcome the advantages China has a result of the size of its economy and its population. It’s a work in progress and the results are mixed, at best.
For those who’ve forgotten their introductory economics, economies of scale are cost advantages created by expanding operations. As companies build more products, they become more efficient, reducing cost per unit. This allows them to produce even more of that product, reinforcing their competitive advantage and keep the virtuous circle turning.
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Unmanned aerial vehicles (UAVs), commonly known as drones, are now widely used worldwide to tackle various real-world tasks, including filming videos for various purposes, monitoring crops or other environments from above, assessing disaster zones, and conducting military operations. Despite their widespread use, most existing drones either need to be fully or partly operated by human agents.
In addition, many drones are unable to navigate cluttered, crowded or unknown environments without colliding with nearby objects. Those that can navigate these environments typically rely on expensive or bulky components, such as advanced sensors, graphics processing units (GPUs) or wireless communication systems.
Researchers at Shanghai Jiao Tong University have recently introduced a new insect-inspired approach that could enable teams of multiple drones to autonomously navigate complex environments while moving at high speed. Their proposed approach, introduced in a paper published in Nature Machine Intelligence, relies on both a deep learning algorithm and core physics principles.
The generation of electricity from heat, also known as thermoelectric energy conversion, has proved to be advantageous for various real-world applications. For instance, it proved useful for the generation of energy during space expeditions and military missions in difficult environments, as well as for the recovery of waste heat produced from industrial plants, power stations or even vehicles.
