Полигонаэдр / Polygonahedron Experiment with rear projection film, Leap Motion and Processing https://vimeo.com/191812588
Project from Google’s AI Experiments is a collection of demos which can generate a doodle from a small input using neural networks:
This experiment lets you draw together with a recurrent neural network model called Sketch-RNN. We taught this neural net to draw by training it on millions of doodles collected from the Quick, Draw! game. Once you start drawing an object, Sketch-RNN will come up with many possible ways to continue drawing this object based on where you left off. The model can also mimic your drawings and produce similar doodles. It’s just another example of how you can use machine learning in fun and creative ways.
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Intel Core with Radeon RX Vega M Graphics Launched: HP, Dell, and Intel NUC http://ift.tt/2CQpCuH
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Release from IBM Research is a Computer Vision dataset for a realtime gesture recognition system, notable for the minimal representation visualizations:
This dataset was used to build the real-time, gesture recognition system described in the CVPR 2017 paper titled “A Low Power, Fully Event-Based Gesture Recognition System.” The data was recorded using a DVS128. The dataset contains 11 hand gestures from 29 subjects under 3 illumination conditions and is released under a Creative Commons Attribution 4.0 license.
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EDIT - Here is a brief video explanation:
A teenager managed to develop an app that can help diagnose a diabetes-related condition affecting her grandfather.
Kavya Kopparapu’s grandfather lives in India, where there aren’t enough ophthalmologists to help diagnose all of those who could be affected by diabetic retinopathy.
DR is the world’s leading cause of vision loss in people age 20 to 65, according to the International Agency for the Prevention of Blindness, which estimated that 50% of people with diabetes are undiagnosed.
But in the absence of proper doctors, “computers could be used in their place,” Kopparapu, 16, said in a TEDx talk on artificial intelligence.
Alongside her brother and another classmate, she invented Eyeagnosis, a smartphone app that can photograph patients’ eyes and match them to a database of 34,000 retinal scans collected from the National Institute of Health. Read more (8/8/17)
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Voyager, with its outer solar system tour and interstellar observations, is often credited as the greatest robotic space mission. But today we remember the plucky Pioneers, the spacecraft that proved Voyager’s epic mission was possible.
Forty-five years ago this week, scientists still weren’t sure how hard it would be to navigate the main asteroid belt, a massive field of rocky debris between Mars and Jupiter. Pioneer 10 helped them work that out, emerging from first the first six-month crossing in February 1973. Pioneer 10 logged a few meteoroid hits (fewer than expected) and taught engineers new tricks for navigating farther and farther beyond Earth.
Pioneer 11 was a backup spacecraft launched in 1973 after Pioneer 10 cleared the asteroid belt. The new mission provided a second close look at Jupiter, the first close-up views of Saturn and also gave Voyager engineers plotting an epic multi-planet tour of the outer planets a chance to practice the art of interplanetary navigation.
Three-hundred and sixty-three years after humankind first looked at Jupiter through a telescope, Pioneer 10 became the first human-made visitor to the Jovian system in December 1973. The spacecraft spacecraft snapped about 300 photos during a flyby that brought it within 81,000 miles (about 130,000 kilometers) of the giant planet’s cloud tops.
Pioneer began as a Moon program in the 1950s and evolved into increasingly more complicated spacecraft, including a Pioneer Venus mission that delivered a series of probes to explore deep into the mysterious toxic clouds of Venus. A family portrait (above) showing (from left to right) Pioneers 6-9, 10 and 11 and the Pioneer Venus Orbiter and Multiprobe series. Image date: March 11, 1982.
Classic rock has Van Halen, we have Van Allen. With credits from Explorer 1 to Pioneer 11, James Van Allen was a rock star in the emerging world of planetary exploration. Van Allen (1914-2006) is credited with the first scientific discovery in outer space and was a fixture in the Pioneer program. Van Allen was a key part of the team from the early attempts to explore the Moon (he’s pictured here with Pioneer 4) to the more evolved science platforms aboard Pioneers 10 and 11.
For more than 25 years, Pioneer 10 was the most distant human-made object, breaking records by crossing the asteroid belt, the orbit of Jupiter and eventually even the orbit of Pluto. Voyager 1, moving even faster, claimed the most distant title in February 1998 and still holds that crown.
We last heard from Pioneer 10 on Jan. 23, 2003. Engineers felt its power source was depleted and no further contact should be expected. We tried again in 2006, but had no luck. The last transmission from Pioneer 11 was received in September 1995. Both missions were planned to last about two years.
Pioneers 10 and 11 are two of five spacecraft with sufficient velocity to escape our solar system and travel into interstellar space. The other three—Voyagers 1 and 2 and New Horizons—are still actively talking to Earth. The twin Pioneers are now silent. Pioneer 10 is heading generally for the red star Aldebaran, which forms the eye of Taurus (The Bull). It will take Pioneer over 2 million years to reach it. Pioneer 11 is headed toward the constellation of Aquila (The Eagle) and will pass nearby in about 4 million years.
Years before Voyager’s famed Golden Record, Pioneers 10 and 11 carried the original message from Earth to the cosmos. Like Voyager’s record, the Pioneer plaque was the brainchild of Carl Sagan who wanted any alien civilization who might encounter the craft to know who made it and how to contact them. The plaques give our location in the galaxy and depicts a man and woman drawn in relation to the spacecraft.
Read the full version of this week’s 10 Things article HERE.
Make sure to follow us on Tumblr for your regular dose of space: http://nasa.tumblr.com.
There’s been some interesting developments recently in adversarial training, but I thought it would probably be a good idea to first talk about what adversarial images are in the first place. This Medium article by @samim is an accessible explanation of what’s going on. It references this talk by Ian Goodfellow, asking if statistical models understand the world.
Machine learning can do amazing magical things, but the computer isn’t looking at things the same way that we do. One way to exploit that is by adding patterns that we can’t detect but that create enough of a difference in the data to completely fool the computer. Is it a dog or an ostrich?
There’s been quite a lot of research into finding ways round this problem as well as exploiting it to avoid facial recognition or other surveillance. And, like I said, there’s been some interesting recent developments that I hope to talk about here.
https://medium.com/@samim/adversarial-machines-998d8362e996#.n7j43766v
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Installation from Shawn Hunt and Microsoft Vancouver combines 3D Printing, robotics, Hololens Mixed Reality and indigenous symbolism:
The Raven, the ultimate trickster, has become a cyborg. In this Creative Collab, Shawn Hunt moves away from engaging with the handmade; exploring authenticity and our expectations of what it means to be indigenous through the removal of the hand-carved surface. The work Transformation Mask, features Microsoft HoloLens, creating an experiential sculpture piece that engages with mixed reality.
In this work, the mask appropriates the traditional aspects of metamorphosis with the transformation from bird mask to human, yet in this adaptation the human mask has been altered, upgraded, and merged with the machine. Incorporating aspects of technology, sound and space, each part of the work reflects Hunt’s interest in how we understand and identify with the term indigenous.
This work presents a new trajectory for engagement and exploration of First Nations practice; one that points towards technology and innovation as aspects that expand traditional practices and open new avenues for interpretation.
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Cyberpunk Street by Yoshimitszu