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APOD: 2018 September 17 - Cosmic Collision Forges Galactic Ring
Explanation: How could a galaxy become shaped like a ring? The rim of the blue galaxy pictured on the right is an immense ring-like structure 150,000 light years in diameter composed of newly formed, extremely bright, massive stars. via Pocket
IFTTT  Pocket  space 
1 hour ago by eemorningwood
A new frame for the sky
Knowing where we are more precisely.
space  maps 
9 hours ago by nwlinks
Deep Space Network presents reliability questions - Science Mag
For most of its life, the network, run by the Jet Propulsion Laboratory (JPL) in Pasadena, California, has been metronomic in its reliability. Its three sites, spaced 120° apart around the globe, all have a 70-meter dish built in the 1960s or '70s, and several newer, 34-meter dishes, which can be arrayed together to match the larger dishes' downlink performance. The network allows continuous contact with spacecraft anywhere in the solar system—or beyond it, as in the case of Voyager 1, which officially entered interstellar space in 2013. Currently, 35 missions rely on the DSN.

Ironically, the glitches this past December and January largely stemmed from problems with the network's newest 34-meter antenna, DSS-35, in Canberra, which began operating in 2014, NASA says. Rain and dust compromised an instrument that helps aim it, several other pointing components overheated, and contaminants leaked into a cryogenic refrigerator used to cool an amplifier. NASA says these problems have mostly been fixed, and the Canberra station's reliability will increase when its next 34-meter antenna, DSS-36, begins operating on 1 October.
science  space  future 
10 hours ago by sandykoe
The BFR in Images: SpaceX's Giant Spaceship for Mars Colony & Beyond
On Sept. 29, 2017, SpaceX founder and CEO Elon Musk unveiled the company’s latest Mars-colonization architecture, which centers on a rocket-spaceship combo dubbed the BFR (Big F***ing Rocket). See how it works in images.
space 
20 hours ago by tonys
SpaceX Will Fly a Japanese Billionaire (and Artists, Too!) Around the Moon in 2023
A Japanese billionaire and a coterie of artists will become the first private citizens ever to fly beyond low-Earth orbit just five years from now, if all goes according to plan.
space 
20 hours ago by tonys
Meet Yusaku Maezawa, SpaceX's First Moon Passenger - The Atlantic
SpaceX said Monday night that it would send Yusaku Maezawa, a billionaire entrepreneur from Japan, on a trip around the moon in 2023 aboard the company’s yet-to-be-built rocket. And Maezawa won’t be flying alone. Joining him will be six to eight artists, chosen from a pool of painters, photographers, musicians, film directors, fashion designers, and architects from around the world.
space  spacex 
21 hours ago by vrypan
Create your design system, part 1: Typography
Typography is arguably the essential part of a website. When we think about the content of a web page, we think about words. In this article, we’ll take a look at how to set a typography system in…
css  webdesign  designsystems  webdevelopment  typography  grid  colour  space  icons  buttons 
yesterday by garrettc
This AI predicts obesity prevalence—all the way from space • Singularity Hub
Marc Prosser:
<p>A research team at the University of Washington has trained an artificial intelligence system to spot obesity—all the way from space. The system used a convolutional neural network (CNN) to analyze 150,000 satellite images and look for correlations between the physical makeup of a neighborhood and the prevalence of obesity.

The team’s results, presented in JAMA Network Open, showed that features of a given neighborhood could explain close to two-thirds (64.8 percent) of the variance in obesity. Researchers found that analyzing satellite data could help increase understanding of the link between peoples’ environment and obesity prevalence. The next step would be to make corresponding structural changes in the way neighborhoods are built to encourage physical activity and better health.

Convolutional neural networks (CNNs) are particularly adept at image analysis, object recognition, and identifying special hierarchies in large datasets.

Prior to analyzing 150,000 high-resolution satellite images of Bellevue, Seattle, Tacoma, Los Angeles, Memphis, and San Antonio, the researchers trained the CNN on 1.2 million images from the ImageNet database. The categorizations were correlated with obesity prevalence estimates for the six urban areas from census tracts gathered by the 500 Cities project.</p>


Seriously? "Yo momma so big she can be seen from SPACE."
obesity  ai  space 
yesterday by charlesarthur

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