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Patrick Windpassinger and his team demonstrate how light stored in a cloud of ultra-cold atoms can be transported by means of an optical conveyor belt.

A team of physicists led by Professor Patrick Windpassinger at Johannes Gutenberg University Mainz (JGU) has successfully transported light stored in a quantum memory over a distance of 1.2 millimeters. They have demonstrated that the controlled transport process and its dynamics has only little impact on the properties of the stored light. The researchers used ultra-cold rubidium-87 atoms as a storage medium for the light as to achieve a high level of storage efficiency and a long lifetime.

“We stored the light by putting it in a suitcase so to speak, only that in our case the suitcase was made of a cloud of cold atoms. We moved this suitcase over a short distance and then took the light out again. This is very interesting not only for physics in general, but also for quantum communication, because light is not very easy to ‘capture’, and if you want to transport it elsewhere in a controlled manner, it usually ends up being lost,” said Professor Patrick Windpassinger, explaining the complicated process.

“What will the next generation of artificial intelligence look like? Which novel AI approaches will unlock currently unimaginable possibilities in technology and business? This article highlights three emerging areas within AI that are poised to redefine the field—and society—in the years ahead. Study up now.”

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If anything, this breakneck pace is only accelerating. Five years from now, the field of AI will look very different than it does today. Methods that are currently considered cutting-edge will have become outdated; methods that today are nascent or on the fringes will be mainstream.

What will the next generation of artificial intelligence look like? Which novel AI approaches will unlock currently unimaginable possibilities in technology and business? This article highlights three emerging areas within AI that are poised to redefine the field—and society—in the years ahead. Study up now.

Today, we already have humans and robots working together. Kuka has deployed a new type of heavy industrial robots that can work and collaborate with humans, side-by-side.

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You got a little too caught up in Instagram and lost track of time. You dash over to your home office to quickly log into to work hoping no one will notice your tardiness. Alas, as soon as you connect, you get an immediate message from your boss: “You’re 17 seconds late to work! Your performance score will be impacted.” Ugh! It’s tough working for an AI boss.

This situation seems far-fetched but a little too real at the same time. Will people have AI managers in the future? More importantly, will people still even be working in the future? The answer to both questions is yes. The reality, though, is AI managers will happen much sooner than people think.

NASA’s Stratospheric Observatory for Infrared Astronomy (SOFIA) discovered water on the sunlit surface of the Moon. This discovery indicates that water may be distributed across the lunar surface, and not limited to cold, shadowed places. This water was detected in Clavius Crater, yes the very same crater featured in the movie 2001 a Space Odyssey as the site of the lunar monolith. In reality this crater’s discovery my spur space exploration, development, and settlement. Find out how in this video.

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SOFIA discovery link: https://www.nasa.gov/press-release/nasa-s-sofia-discovers-wa…ce-of-moon

MIT looked at the original Roboat as “quarter-scale” option, with the Roboat II being half-scale; they’re slowly working up to the point of a full-scale option that can carry four to six passengers. That bigger version is already under construction in Amsterdam, but there’s no word on when it’ll be ready for testing. In the meantime, Roboat II seems like it can pretty effectively navigate Amsterdam — MIT says that it autonomously navigated the city’s canals for three hours collecting data and returned to where it left with an error margin of less than seven inches.

Going forward, the MIT team expects to keep improving the Roboat’s algorithms to make it better able to deal with the challenges a boat might find, like disturbances from currents and waves. They’re also working to make it more capable of identifying and “understanding” objects it comes across so it can better deal with the environment it’s in. Everything the half-scale Roboat II learns will naturally be applied to the full-scale version that’s being worked on now. There’s no word on when we might see that bigger Roboat out in the waters, though.

We stored the light by putting it in a suitcase so to speak, only that in our case the suitcase was made of a cloud of cold atoms,” says physicist Patrick Windpassinger from Mainz University in Germany. “We moved this suitcase over a short distance and then took the light out again.


The storage and transfer of information is a fundamental part of any computing system, and quantum computing systems are no different – if we’re going to benefit from the speed and security of quantum computers and a quantum internet, then we need to figure out how to shift quantum data around.

One of the ways scientists are approaching this is through optical quantum memory, or using light to store data as maps of particle states, and a new study reports on what researchers are calling a milestone in the field: the successful storage and transfer of light using quantum memory.

The researchers weren’t able to transfer the light very far – just 1.2 millimetres or 0.05 inches – but the process outlined here could form the foundation of the quantum-powered computers and communication systems of the future.

KENNEDY SPACE CENTER (FL), October 19, 2020 – The Center for the Advancement of Science in Space (CASIS) and the National Science Foundation (NSF) announced three flight projects that were selected as part of a joint solicitation focused on leveraging the International Space Station (ISS) U.S. National Laboratory to further knowledge in the fields of tissue engineering and mechanobiology. Through this collaboration, CASIS, manager of the ISS National Lab, will facilitate hardware implementation, in-orbit access, and astronaut crew time on the orbiting laboratory. NSF invested $1.2 million in the selected projects, which are seeking to advance fundamental science and engineering knowledge for the benefit of life on Earth.

This is the third collaborative research opportunity between CASIS and NSF focused on tissue engineering. Fundamental science is a major line of business for the ISS National Lab, and by conducting research in the persistent microgravity environment offered by the orbiting laboratory, NSF and the ISS National Lab will drive new advances that will bring value to our nation and spur future inquiries in low Earth orbit.

Microgravity affects organisms—from viruses and bacteria to humans, inducing changes such as altered gene expression and DNA regulation, changes in cellular function and physiology, and 3D aggregation of cells. Spaceflight is advancing research in the fields of pharmaceutical research, disease modeling, regenerative medicine, and many other areas within the life sciences. The selected projects will utilize the ISS National Lab and its unique environment to advance fundamental and transformative research that integrates engineering and life sciences.