Coding project from Andrew Hart demonstrates how ARkit for iOS can apply Augmented Reality for geolocation guidance:
ARKit + CoreLocation pic.twitter.com/nTdKyGrBmv
— Andrew Hart (@AndrewProjDent)
July 17, 2017
ARKit + CoreLocation, part 2 pic.twitter.com/AyQiFyzlj3
— Andrew Hart (@AndrewProjDent)
July 21, 2017
Andrew has said that the source code for this project will be up on Github soon (possibly later next week)
Monster Feels. GIF Painting by Sarah Zucker, 2017.
How Bitcoin Works
Nueral Network applies Sesame Street to Trumps - Chris Rodley
Artist Chris Rodley - “I used deep learning to turn the Trump family into Sesame St characters. Was not prepared for the nameless horror”
5 Mysterious Posts Found On Reddit That STILL Remain Unexplained…
today i witnessed this tragic moment at the museum of communication #robotfriend
Continuing from my previous post, a little FYI …
You can download your model and upload it to @sketchfab
The example above was created using this current Tumblr Radar image from @made
Back in the day, movies started with a cartoon. Learn the secrets of the Red Planet in these animated 60 second chunks.
Watch two galaxies collide billions of years from now in this high-definition visualization.
Wait for the dark of the waning Moon next weekend to take in this 4K tour of our constant celestial companion.
Watch graceful dances in the Sun’s atmosphere in this series of videos created by our 24/7 Sun-sentinel, the Solar Dynamic Observatory (SDO).
Crank up the volume and learn about NASA science for this short video about some of our science missions, featuring a track by Fall Out Boy.
Follow an asteroid from its humble origins to its upcoming encounter with our spacecraft in this stunning visualization.
Join Apollo mission pilots as they fly—and even crash—during daring practice runs for landing on the Moon.
Join the crew of Apollo 8 as they become the first human beings to see the Earth rise over the surface of the Moon.
Watch a musical, whimsical recreation of the 2005 Huygens probe descent to Titan, Saturn’s giant moon.
Our Goddard Scientific Visualization Studio provides a steady stream of fresh videos for your summer viewing pleasure. Come back often and enjoy.
Read the full version of this article on the web HERE.
Make sure to follow us on Tumblr for your regular dose of space: http://nasa.tumblr.com.
Programming project from Or Fleisher and Anastasis Germanidis combines Augmented Reality and Machine Learning, using a Neural Net trained for age prediction through mobile camera device:
‘Death-Mask’ predicts how long people have to live and overlays that in the form of a “clock” above they’re heads in augmented reality. The project uses a machine learning model titled AgeNet for the prediction process. Once predicted it uses the average life expectancy in that location to try and estimate how long one has left.
The aesthetic inspiration derives from the concept of death masks. These are sculptures meant to symbolize the death of a person by casting his face into a sculpture (i.e mask).
The experiment uses ARKit to render the visual content in augmented reality on an iPad and CoreML to run the machine learning model in real-time. The project is by no means an accurate representation of one’s life expectancy and is more oriented towards the examination of public information in augmented reality in the age of deep learning.
Link
SP. “Free your mind.” The Matrix (1999)