They are the most common type of planet observed in our Milky Way galaxy — two to three times the diameter of Earth but smaller than Neptune, and orbiting closer to their stars than our solar system’s innermost planet Mercury does to the sun.
A speech prosthetic developed by a collaborative team of Duke neuroscientists, neurosurgeons, and engineers can translate a person’s brain signals into what they’re trying to say.
Appearing Nov. 6 in the journal Nature Communications, the new technology might one day help people unable to talk due to neurological disorders regain the ability to communicate through a brain-computer interface.
“There are many patients who suffer from debilitating motor disorders, like ALS (amyotrophic lateral sclerosis) or locked-in syndrome, that can impair their ability to speak,” said Gregory Cogan, Ph.D., a professor of neurology at Duke University’s School of Medicine and one of the lead researchers involved in the project. “But the current tools available to allow them to communicate are generally very slow and cumbersome.”
An #AI tool that has discovered 2.2 million new materials, and helps to predict material stability.
AI tool GNoME finds 2.2 million new crystals, including 380,000 stable materials that could power future technologies.
Modern technologies from computer chips and batteries to solar panels rely on inorganic crystals. To enable new technologies, crystals must be stable otherwise they can decompose, and behind each new, stable crystal can be months of painstaking experimentation.
Continue reading “Millions of new materials discovered with deep learning” »
But other scientists argue the structure can’t be that ancient—and that humans couldn’t have built it.
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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.
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.
