Source | Via FB
Showing posts with label graphics. Show all posts
Showing posts with label graphics. Show all posts
31 July 2015
07 July 2015
05 July 2015
Google's DeepDream
From the description on Vimeo:
A visualization of what's happening inside the mind of an artificial neural network.
By recognizing forms in these images, your mind is already reflecting what's going on in the software, projecting its own bias onto what it sees. You think you are seeing things, perhaps puppies, slugs, birds, reptiles etc. If you look carefully, that's not what's in there. But those are the closest things your mind can match to what it's seeing. Your mind is struggling to put together images based on what you know. And that's exactly what's happening in the software. And you've been training your mind for years, probably decades. These neural networks are usually trained for a few hours, days or weeks.
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In non-technical speak:
An artificial neural network can be thought of as analogous to a brain (immensely, immensely, immensely simplified. nothing like a brain really). It consists of layers of neurons and connections between neurons. Information is stored in this network as 'weights' (strengths) of connections between neurons. Low layers (i.e. closer to the input, e.g. 'eyes') store (and recognise) low level abstract features (corners, edges, orientations etc.) and higher layers store (and recognise) higher level features. This is analogous to how information is stored in the mammalian cerebral cortex (e.g. our brain).
Here a neural network has been 'trained' on millions of images - i.e. the images have been fed into the network, and the network has 'learnt' about them (establishes weights / strengths for each neuron). (NB. This is a specific database of images fed into the network known as ImageNet http://image-net.org/explore )
Then when the network is fed a new unknown image (e.g. me), it tries to make sense of (i.e. recognise) this new image in context of what it already knows, i.e. what it's already been trained on.
This can be thought of as asking the network "Based on what you've seen / what you know, what do you think this is?", and is analogous to you recognising objects in clouds or ink / rorschach tests etc.
The effect is further exaggerated by encouraging the algorithm to generate an image of what it 'thinks' it is seeing, and feeding that image back into the input. Then it's asked to reevaluate, creating a positive feedback loop, reinforcing the biased misinterpretation.
This is like asking you to draw what you think you see in the clouds, and then asking you to look at your drawing and draw what you think you are seeing in your drawing etc,
That last sentence was actually not fully accurate. It would be accurate, if instead of asking you to draw what you think you saw in the clouds, we scanned your brain, looked at a particular group of neurons, reconstructed an image based on the firing patterns of those neurons, based on the in-between representational states in your brain, and gave *that* image to you to look at. Then you would try to make sense of (i.e. recognise) *that* image, and the whole process will be repeated.
We aren't actually asking the system what it thinks the image is, we're extracting the image from somewhere inside the network. From any one of the layers. Since different layers store different levels of abstraction and detail, picking different layers to generate the 'internal picture' hi-lights different features.
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All based on the google research by Alexander Mordvintsev, Software Engineer, Christopher Olah, Software Engineering Intern and Mike Tyka, Software Engineer
http://googleresearch.blogspot.ch/2015/06/inceptionism-going-deeper-into-neural.html
https://github.com/google/deepdream
13 June 2015
25 November 2012
Alexander Arrangement | 3D Periodic Table
Click image to enlarge
From Theodore Gray:
The Alexander Arrangement is a three-dimensional paper sculpture of the periodic table designed by Roy Alexander, with whom I collaborated on this version. For the first time this clever form of the table has been combined with my photographs of real element samples, resulting in a quite lovely object.
The Alexander Arrangement deals with the fundamental problem of gaps in the traditional arrangement of the periodic table by wrapping the transition metals and the lanthanides/actinides into loops, so all the elements that are supposed to be next to each other actually are next to each other. You can read it as a complete spiral loop through all the elements without any gaps.
The table is printed on top-grade, heavy paper printed on both sides, and includes detailed instructions for assembly. The result is a sturdy object you can carry around, put on a table, hang as a mobile, or, if you're like me, use as a tree-topper for a festive seasonal science tree. "It takes about 10 minutes to put together if you don't read the instructions," Theodore tells us. "No idea how long if you do read them, that's not the kind of thing I would stoop to."Via BoingBoing
10 November 2012
Nine Circles Of Scientific Hell
Click image to enlarge
Dante's Inferno: a classic of world literature, the definitive statement of the mediaeval Christian world-view, the first major work in the Italian language, and the basis for a violent videogame. The poem offers a tour through the nine increasingly horrible levels of Hell, in which sinners are tormented forever.
But Dante lived before the era of modern science. I thought I'd update his scheme to explain what happens to those guilty of various scientific sins, ranging from the commonplace to the shocking.
Bear in mind that Dante's Hell had a place for everyone, and it was only Christ's intervention that saved anyone from it; even "good" people went to Hell because everyone sins. But they are still sins. Likewise, very few scientists (and I'm certainly not one of them) would be able to avoid being condemned to some level of this Inferno ... but, that's no excuse.
First Circle: Limbo
The uppermost circle is not a place of punishment so much as regret. Those who have committed no scientific sins per se, but who have turned a blind eye to them, or encouraged sinners through the awarding of grants, spend eternity on top of this barren mountain, watching the carnage below and reflecting on how they are partially responsible…
Second Circle: Overselling
This circle is reserved for those who exaggerated the importance of their work in order to get grants or write better papers. Sinners are trapped in a huge pit, up to their necks in horrible sludge. Each sinner is provided with the single rung of a ladder, labeled “The Way Out—Scientists Crack Problem of Second Circle of Hell.”
Third Circle: Post-Hoc Storytelling
Sinners condemned to this circle must constantly dodge the attacks of demons armed with bows and arrows, firing more or less at random. Every time someone is hit in some part of their body, a demon proceeds to explain at length that it was aiming for that exact spot all along.
Fourth Circle: p Value Fishing
Those who tried every statistical test in the book until they got a p value less than .05 find themselves here, in an enormous lake of murky water. Sinners sit on boats and must fish for their food. Fortunately, they have a huge selection of different fishing rods and nets (brand names include Bayes, Student, Spearman, and many more). Unfortunately, only one in 20 fish are edible, so the sinners in this circle are constantly hungry.
Fifth Circle: Creative Use of Outliers
Those who “cleaned up” their results by excluding inconvenient data points are condemned here. Demons pluck out their hairs one by one, each time explaining that the sinner is better off without that hair, because there was something wrong with it.
Sixth Circle: Plagiarism
This circle is empty because as soon as sinners arrive, a demon carries them to another circle and forces them to suffer the punishment meted out to the people there. After their 3-year "post" is up, they are carried to another circle, and so on…
Seventh Circle: Nonpublication of Data
Here, sinners are chained to burning chairs in front of desks covered with broken typewriters. Only if the sinners can write an article describing their predicament will they be set free. Each desk has a file drawer stuffed full of these articles, but the drawers are locked.
Eighth Circle: Partial Publication of Data
At any given time, exactly half of the sinners here are chased around by demons prodding them with spears. The demons choose which group to chase at random, after ensuring that the groups are matched for age, gender, height, and weight. Howling winds fill the air with a constant torrent of articles announcing the success of a new program to enhance participation in physical exercise—but with no mention of the side effects.
Ninth Circle: Inventing Data
Here, Satan himself lies trapped forever in a block of solid ice alongside the worst sinners of all. Frozen in front of their eyes is a paper explaining very convincingly that water cannot freeze in the environmental conditions of this part of Hell. Unfortunately, the data were made up
Neuroskeptic via Neatorama
18 September 2012
31 August 2012
NPR | What Americans Do
The first graphic shows how the average American with a full-time job spends a typical work day. The second graphic shows a more detailed breakdown. The information source is the America Time Use Survey conducted by the Bureau of Labor Statistics.
NPR | Planet Money via Neatorama
29 August 2012
Laurent Seroussi | Insectes
Click images to enlarge
Photographer and graphic designer Laurent Seroussi combines the beauty of the human female form with fascinating, symmetrical, and leggy bug bodies in this project entitled Insectes. The fantasy creations incorporate sleek female figures blending with the bodies of insects in extremely realistic and well-photoshopped depictions.
According to his bio, "Laurent Seroussi’s multifaceted imagery brings together his background in both graphic design and moving imagery. His immediate work stretches the imagination with playful visual tricks and postproduction wizardry." Seroussi personifies the insects that crawl or fly around us by merging strong bodies, human faces, and the fine details of these segmented creatures. As the feminine faces glance over their shoulders or close their eyes with sleek and sensual expressions, Seroussi romanticizes the small creatures that we otherwise chase out of our lives and our homes.Dangerous Minds and My Modern Met
27 June 2012
Chart Porn | Should You Work For Free?
Click image to enlarge
Detail
From Jessica Hische:
Who's ready to stop working for free? Hopefully you are! If you have any doubts, consult this handy chart. Start in the middle and work your way to your answer!Thanks, Claire
30 September 2011
12 September 2011
Ben Dewey | Things Could Be Worse
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Ben Dewey is a professional comic book artist, illustrator, musician, and blogger from Portland, Oregon. Tragedy Series: Things Could Be Worse features "depictions drawn from regrettable accounts of the less fortunate for purposes of instruction, so that one may avoid similar missteps." View many more tragedies at the web site.
Via Pleated Jeans
12 July 2011
27 June 2011
Robots Of Brixton
Kibwe Tavares on Vimeo
Via Kuriositas
03 June 2011
27 May 2011
Toby Ng | The World Of 100
Click images to enlarge
These posters are part of a 20-set project created by graphic designer Toby Ng.
Via Nag on the Lake
21 May 2011
18 May 2011
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