“You Think I’m Scared Of Death? I’ve Done It A Million Times, And I’m Fucking Great At It.”

“You Think I’m Scared Of Death? I’ve Done It A Million Times, And I’m Fucking Great At It.”

“You think I’m scared of death? I’ve done it a million times, and I’m fucking great at it.”

More Posts from Laossj and Others

8 years ago
Things Auto-tagged ‘Jungle Gym’ On Flickr
Things Auto-tagged ‘Jungle Gym’ On Flickr
Things Auto-tagged ‘Jungle Gym’ On Flickr
Things Auto-tagged ‘Jungle Gym’ On Flickr
Things Auto-tagged ‘Jungle Gym’ On Flickr
Things Auto-tagged ‘Jungle Gym’ On Flickr
Things Auto-tagged ‘Jungle Gym’ On Flickr
Things Auto-tagged ‘Jungle Gym’ On Flickr
Things Auto-tagged ‘Jungle Gym’ On Flickr
Things Auto-tagged ‘Jungle Gym’ On Flickr

Things auto-tagged ‘Jungle Gym’ on Flickr

Flickr has introduced auto-tagging, aided by Machine Learning (I checked that it is with ML and found this Yahoo machine learning presentation). The user response has been quite negative so far, this Flickr forum post has a lot of angry pro users having to correct thousands of photographs for inexact tagging. Flickr openly say they want people to correct their tags because that will further help train their ML algorithms. 

Alex Hern of the Guardian wrote about some contentious cases such as when people have been auto-tagged ‘ape’ and when concentration camps get tagged ‘sport’ and ‘jungle gym’. In isolation these cases seem really outrageous so I did a search for ‘jungle gym’ and found many false positives, painting a much more systemic problem; it seems Flickr’s strategy is to auto-tag as much as possible, forcing their users, often not bothered about tags, to respond by curating a better set of tags for each image. So the bigger strategy seems to pitch machine learning against human labour in an attempt to make their algos smarter and their image service perfectly tagged. 

7 years ago

Reinventing the Wheel

Planning a trip to the Moon? Mars? You’re going to need good tires…

image

Exploration requires mobility. And whether you’re on Earth or as far away as the Moon or Mars, you need good tires to get your vehicle from one place to another. Our decades-long work developing tires for space exploration has led to new game-changing designs and materials. Yes, we’re reinventing the wheel—here’s why.

Wheels on the Moon

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Early tire designs were focused on moving hardware and astronauts across the lunar surface. The last NASA vehicle to visit the Moon was the Lunar Roving Vehicle during our Apollo missions. The vehicle used four large flexible wire mesh wheels with stiff inner frames. We used these Apollo era tires as the inspiration for new designs using newer materials and technology to better function on a lunar surface.

Up springs a new idea

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During the mid-2000s, we worked with industry partner Goodyear to develop the Spring Tire, an airless compliant tire that consists of several hundred coiled steel wires woven into a flexible mesh, giving the tires the ability to support high loads while also conforming to the terrain. The Spring Tire has been proven to generate very good traction and durability in soft sand and on rocks.

Spring Tires for Mars

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A little over a year after the Mars Curiosity Rover landed on Mars, engineers began to notice significant wheel damage in 2013 due to the unexpectedly harsh terrain. That’s when engineers began developing new Spring Tire prototypes to determine if they would be a new and better solution for exploration rovers on Mars.

image

In order for Spring Tires to go the distance on Martian terrain, new materials were required. Enter nickel titanium, a shape memory alloy with amazing capabilities that allow the tire to deform down to the axle and return to its original shape.

These tires can take a lickin’

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After building the shape memory alloy tire, Glenn engineers sent it to the Jet Propulsion Laboratory’s Mars Life Test Facility. It performed impressively on the punishing track.

Why reinvent the wheel? It’s worth it.

image

New, high performing tires would allow lunar and Mars rovers to explore greater regions of the surface than currently possible. They conform to the terrain and do not sink as much as rigid wheels, allowing them to carry heavier payloads for the same given mass and volume. Also, because they absorb energy from impacts at moderate to high speeds, there is potential for use on crewed exploration vehicles which are expected to move at speeds significantly higher than the current Mars rovers.

Airless tires on Earth

image

Maybe. Recently, engineers and materials scientists have been testing a spinoff tire version that would work on cars and trucks on Earth. Stay tuned as we continue to push the boundaries on traditional concepts for exploring our world and beyond.  

Make sure to follow us on Tumblr for your regular dose of space: http://nasa.tumblr.com.  

7 years ago
Slide The Light Off You You May Find Some Peace
Slide The Light Off You You May Find Some Peace
Slide The Light Off You You May Find Some Peace

slide the light off you you may find some peace

7 years ago

Ever wished you could have a few more arms to get stuff done? Researchers at the University of Tokyo have developed Metalimbs. They’re strap-on robotic arms controlled by the lower body.

follow @the-future-now

7 years ago
FontCode
FontCode
FontCode
FontCode

FontCode

Research from Columbia Computer Graphics Group can create textual encryption by minute altering of font characteristics using neural networks:

We introduce FontCode, an information embedding technique for text documents. Provided a text document with specific fonts, our method embeds user-specified information in the text by perturbing the glyphs of text characters while preserving the text content. We devise an algorithm to choose unobtrusive yet machine-recognizable glyph perturbations, leveraging a recently developed generative model that alters the glyphs of each character continuously on a font manifold. We then introduce an algorithm that embeds a user-provided message in the text document and produces an encoded document whose appearance is minimally perturbed from the original document. We also present a glyph recognition method that recovers the embedded information from an encoded document stored as a vector graphic or pixel image, or even on a printed paper. In addition, we introduce a new error-correction coding scheme that rectifies a certain number of recognition errors. Lastly, we demonstrate that our technique enables a wide array of applications, using it as a text document metadata holder, an unobtrusive optical barcode, a cryptographic message embedding scheme, and a text document signature.

More Here

7 years ago
10 Minutes Of Imaginary Japanese Anime Face
10 Minutes Of Imaginary Japanese Anime Face
10 Minutes Of Imaginary Japanese Anime Face
10 Minutes Of Imaginary Japanese Anime Face

10 Minutes of Imaginary Japanese Anime Face

Video from Yingtao Tian presents anime characters generated using GAN Neural Networks:

You can create your own using the webtoy MakeGirlsMoe here

7 years ago
How To Buy Bitcoins In India | A Step-By-Step Guide Find More Bitcoin Mining Rig Reviews: Http://bitcoinist.net

How To Buy Bitcoins In India | A Step-By-Step Guide Find more Bitcoin mining rig reviews: http://bitcoinist.net

8 years ago
THOPTER_02

THOPTER_02

7 years ago
Google’s DeepMind AI Just Taught Itself To Walk

Google’s DeepMind AI just taught itself to walk

7 years ago

Lol - Hello, would you like to hear a TCP joke?

Lol - Hello, Would You Like To Hear A TCP Joke?
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