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Jul 13, 2018

Giant Satellite Fuel Tank Sets New Record for 3D Printed Space Parts

Posted by in categories: 3D printing, energy, satellites

DENVER, July 11, 2018 /PRNewswire/ — Lockheed Martin (NYSE: LMT) has embraced a 3D printed titanium dome for satellite fuel tanks so big you can’t even put your arms around it. The 46-inch- (1.16-meter-) diameter vessel completed final rounds of quality testing this month, ending a multi-year development program to create giant, high-pressure tanks that carry fuel on board satellites.

A Lockheed Martin engineer inspects one of the 3D printed dome prototypes at the company's space facility in Denver. The final dome measures 46 inches in diameter, large enough to fit 74.4 gallons of liquid.

The titanium tank consists of three parts welded together: two 3D printed domes that serve as caps, plus a variable-length, traditionally-manufactured titanium cylinder that forms the body.

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Jul 13, 2018

Opener: We are a fast-growing company with a single lofty goal: to bring personal aviation to the general public

Posted by in category: transportation

Innovating at the leading edge of electric aviation technology, we have developed BlackFly, the world’s first ultralight all-electric fixed-wing VTOL personal aircraft.

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Jul 12, 2018

End of an era for space exploration

Posted by in category: space travel

Two ground-breaking NASA missions are coming to an end.

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Jul 12, 2018

Quasar: The Brightest Objects in the Universe

Posted by in category: space

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Jul 12, 2018

‘Blind’ robot can climb stairs, leap on desks

Posted by in category: robotics/AI

Meet the Cheetah 3 — a “blind” robot designed by MIT that can avoid obstacles and climb stairs using “feel” instead of sensors or cameras https://cnnmon.ie/2KQiJhD

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Jul 12, 2018

Chinese cities will soon get thousands of self-driving buses

Posted by in categories: robotics/AI, transportation

This is the 427 service to the future of transport.

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Jul 12, 2018

Don’t Fight the Robots, Work With Them

Posted by in category: robotics/AI

There wont be any left to do along side them, and that should be the goal.


AI is coming, and it’s changing work as we know it. Adaptation is the only way forward.

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Jul 12, 2018

Hubble, Gaia produce most precise measure of universe’s expansion rate

Posted by in category: space

July 12 (UPI) — By combining the observations of the two most powerful space telescopes in orbit, scientists have achieved the most precise measurement of the Hubble constant, the universe’s expansion rate.

The new measurement confirms the tension between explosion rate in the early and late universe, researchers report.

Astronomers can measure the expansion of the universe by measuring a galaxy’s redshift, a change in the wavelength of the light due to a change in the velocity of the object. By measuring the redshift of galaxies using the Hubble Telescope, scientists have established the Hubble constant.

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Jul 12, 2018

NASA’s Voyager-1 Spacecraft Opens Door On New Way To Look For Dark Matter

Posted by in category: cosmology

NASA’s 40-year-old Voyager-1 spacecraft amazes all with ground-breaking new cosmic ray data from interstellar space.

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Jul 12, 2018

Caltech’s new machine learning algorithm predicts IQ from fMRI

Posted by in categories: biotech/medical, health, information science, neuroscience, robotics/AI

Scientists at the California Institute of Technology can now assess a person’s intelligence in moments with nothing more than a brain scan and an AI algorithm, university officials announced this summer.

Caltech researchers led by Ralph Adolphs, PhD, a professor of psychology, neuroscience and biology and chair of the Caltech Brain Imaging Center, said in a recent study that they, alongside colleagues at Cedars-Sinai Medical Center and the University of Salerno, were successfully able to predict IQ in hundreds of patients from fMRI scans of resting-state brain activity. The work is pending publication in the journal Philosophical Transactions of the Royal Society.

Adolphs and his team collected data from nearly 900 men and women for their research, all of whom were part of the National Institutes of Health (NIH)-driven Human Connectome Project. The researchers trained their machine learning algorithm on the complexities of the human brain by feeding the brain scans and intelligence scores of these hundreds of patients into the algorithm—something that took very little effort on the patients’ end.

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