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Companies must rethink how junior employees advance through an organization as AI takes over rote tasks.
The European Space Agency (ESA) has a number of missions ongoing to discover and study exoplanets, which are planets outside of our solar system.
One of those missions, Cheops (CHaracterising ExOPlanet Satellite), has uncovered a rare star system that lies around 100 light-years away.
It’s an important find because it can tell us about the formation and evolution of the planetary system, according to ESA.
Posted in evolution
Modern scientists aren’t content with predicting how life evolves. They want to shape it.
Skoltech scientists have found a way to improve the most widely used technology for producing single-walled carbon nanotube films—a promising material for solar cells, LEDs, flexible and transparent electronics, smart textiles, medical imaging, toxic gas detectors, filtration systems, and more. By adding hydrogen gas along with carbon monoxide to the reaction chamber, the team managed to almost triple carbon nanotube yield compared with when other growth promoters are used, without compromising quality.
Until now, low yield has been the bottleneck limiting the potential of that manufacturing technology, otherwise known for high product quality. The study has been published in the Chemical Engineering Journal.
Although that is not how they’re really made, conceptually, nanotubes are a form of carbon where sheets of atoms in a honeycomb arrangement—known as graphene—are seamlessly rolled into hollow cylinders.
Quantum technologies are currently maturing at a breath-taking pace. These technologies exploit principles of quantum mechanics in suitably engineered systems, with bright prospects such as boosting computational efficiencies or communication security well beyond what is possible with devices based on today’s ‘classical’ technologies.
As with classical devices, however, to realize their full potential, quantum devices must be networked. In principle, this can be done using the fiber-optic networks employed for classical telecommunications. But practical implementation requires that the information encoded in quantum systems can be reliably stored at the frequencies used in telecom networks—a capability that has not yet been fully demonstrated.
Writing in Nature Communications, the group of Prof. Xiao-Song Ma at Nanjing University reports record-long quantum storage at telecom wavelengths on a platform that can be deployed in extended networks, paving the way for practical large-scale quantum networks.
A small team of chemists from Nankai University, Nanjing Tech University and Shanxi University, all in China, working with a colleague from Universidad San Sebastián, in Chile, has, for the first time, created a fullerene-like molecule made entirely of metal atoms.
In their paper published in the journal Science, the group describes how they created the molecule by accident while they were conducting research experiments with antimony, potassium and gold atoms.
A fullerene is a form of carbon where its molecules are connected by single and double bonds which result in the formation of a closed cage-like structure. It was first realized in 1985 and since that time analogous inorganic fullerenes have been created using a variety of compounds. But until now, none of them have been purely metal.
When galaxies collide, their supermassive black holes enter into a gravitational dance, gradually orbiting each other ever closer until eventually merging. We know they merge because we see the gravitational beasts that result, and we have detected the gravitational waves they emit as they inspiral. But the details of their final consummation remain a mystery. Now a new paper published on the pre-print server arXiv suggests part of that mystery can be solved with a bit of dark matter.
Just as the famous three-body problem has no general analytical solution for Newtonian gravity, the two-body problem has no general solution in general relativity. So, we have to resort to computer simulations to model how black holes orbit each other and eventually merge.
For binary black holes that are relatively widely separated, our simulations work really well, but when black holes are close to each other things get complicated. Einstein’s equations are very nonlinear, and modeling the dynamics of strongly interacting black holes is difficult.
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Predicting the timelines of quantum artificial intelligence is difficult and managing expectations are almost impossible to realize.
