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Ten years ago today, China sent a crew to its thus-far unoccupied Tiangong-1 space station. When the crew arrived two days later, the nation joined Russia and the United States in a rarified spacefaring club that marked the beginning of China’s space ascent.

On June 16, 2012, the China Manned Space Agency launched the Shenzhou-9 mission. Its three-person crew — commander Jing Haipeng, major Liu Wang, and China’s first woman in space, major Liu Yang — flew into Earth orbit atop a Long March rocket from Jiuquan Satellite Launch Center near Mongolia in the Gobi Desert. They successfully docked with China’s Tiangong-1 space lab on June 18.

It was a long time coming. In 2008, China successfully docked its Shenzhou 8 craft to the Tiangong-1 space station. But both the space station and its new addition were uncrewed, guided on the ground by mission control. That left it up to the Shenzhou 9 crew to make history by taking it literally into their own hands. Taikonaut Liu Wang piloted Shenzhou 9 toward Tiangong-1, easing into position for a soft docking. After securing various bolts and locks, ground control began equalizing the air pressure between the capsule and station. Three hours later, the crew entered the station.

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Text-to-image AI systems are going to be huge.

Google has released its latest text-to-image AI system, named Imagen, and the results are extremely impressive. However, the company warns the system is also prone to racial and gender biases, and isn’t releasing Imagen publicly.

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The semiconductor industry has been growing steadily ever since its first steps in the mid-twentieth century and, thanks to the high-speed information and communication technologies it enabled, it has given way to the rapid digitalization of society. Today, in line with a tight global energy demand, there is a growing need for faster, more integrated, and more energy-efficient semiconductor devices.

However, modern semiconductor processes have already reached the nanometer scale, and the design of novel high-performance materials now involves the structural analysis of semiconductor nanofilms. Reflection high-energy electron diffraction (RHEED) is a widely used analytical method for this purpose. RHEED can be used to determine the structures that form on the surface of thin films at the atomic level and can even capture structural changes in real time as the thin film is being synthesized!

Unfortunately, for all its benefits, RHEED is sometimes hindered by the fact that its output patterns are complex and difficult to interpret. In virtually all cases, a highly skilled experimenter is needed to make sense of the huge amounts of data that RHEED can produce in the form of diffraction patterns. But what if we could make machine learning do most of the work when processing RHEED data?

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Though the planets are outside of their star’s habitable zone, as they orbit too closely, “there might be more planets in the system,” according to Avi Shporer, one of the scientists involved in the new study. “There are many multiplanet systems hosting five or six planets, especially around small stars like this one. Hopefully, we will find more, and one might be in the habitable zone. That’s optimistic thinking.”

Either way, the multiplanet system will likely be a focal point for future studies, shedding new insight into planetary formation and the evolution of alien worlds, helping the astronomical community better understand how our own planet came into existence.

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Neutron stars are incredibly dense remnants of stars that collapsed and exploded as supernova, making them spin at immense speeds. By definition, they have lived for millennia, died, and then been reborn as something new.

In any case, a press statement reveals that astronomers discovered one of the youngest known neutron stars while analyzing data from the VLA Sky Survey (VLASS).

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