Wowcast 99: Stranger Things Staffel 2

19:00 Fun Tech #MusicInstrument #Sounds

Accidental Trombone Recognition

I find this far funnier than I should: „Paul The Trombonist accidentally texted [his] wife with voice recognition while playing…

16:02 Science #GIFs #Mushrooms #SlimeMolds

Slime Mold Microscopy-GIFs

Hübsche Mikroskopie-GIFs meiner Lieblingsmushrooms (nach Psyllos): Schleimpilze! --> „Bacterial biofilms and slime molds are more than crude patches of goo.…

15:15 Design #Illustration #Japan

Großartige Kugelschreiber-Illus kiffender Polizisten, New School Samurai und knast-tätowierter Schulmädchen von Shohei Otomo (Facebook, Instagram), ab morgen in einer Ausstellung der Backwoods Gallery.

Japanese culture is engaged in an ongoing battle against two opponents; it’s youth and the West. Like a colossal Sumo wrestler with expert cultural judo, by using its opponents own weight as a weapon, Japan somehow keeps the fight in equilibrium. It rolls with each blow, assimilates culture, pushes back with its own creations and always finds balance.

The Japanese phrase 'ORA ORA' has no direct English translation. It’s a threat or battle-cry, commonly used by Japanese low-lives and thugs. Recently, the phrase has also found itself used in Manga as the onomatopoeia for exertion while punching or kicking someone repeatedly, with ironic undertones. 'ORA ORA' is a deceptively complicated phrase and a fitting title for this exhibition. Like everything that Shohei does, his choice of title has a layered meaning that elegantly ties into show’s central theme.

On the macro level, Japans cultural dynamic with the West can seem fluid. It has, after all, been going on for centuries. However, on the smaller scale, for Japanese individuals, this dynamic often results in a conflicting sense of cultural identity. Irreconcilably different aesthetics and contradictory philosophies occupy the Japanese consciousness; Tea ceremonies and vending machines, Buddhism and consumerism, Zen simplicity and a frenetic mess of logos. All vying for positions in the Japanese psyche. The resulting tension and its social implications thematically lie at the core of this exhibition.

Gib mir den Rest, Baby…

Gothic Architecture Zoetrope

„An animated short film made with just one image exploring the dancing potential of the still sculptures at Nidaros Cathedral…

Fractal Scarves

Fabienne Serriere schickt Fraktale in eine industrielle Knüpfmaschine und macht Mandelbrot-Schals daraus. Derzeit ausverkauft, heute allerdings stellt sie einen neuen…

Ich finde nicht alles toll vom Zentrum für Politische Schönheit, das hier aber schon: Die haben dem Höcke ein Holocaust-Mahnmal vor's Haus gebaut, hier ein Livestream vom Bau: Der Livestream ist weg, hier ein Bericht von 3Sat:

Mittwoch früh, 6 Uhr, Bornhagen (Thüringen): Der Lärm von Betonpumpen reißt den AfD-Fraktionsvorsitzenden Björn Höcke aus dem Schlaf. Sein 500 Jahre altes Pfarrhaus bebt. Als er zum Fenster stürmt, traut er seinen Augen nicht: Direkt vor seinem Haus entsteht ein Ableger des Denkmals für die ermordeten Juden Europas, das Höcke im Januar als ”Denkmal der Schande” bezeichnet hatte. Der ehemalige Geschichtslehrer zittert. Seit heute früh um 6 Uhr wird zurückgedacht.

Bereits seit zehn Monaten ist das Zentrum für Politische Schönheit (ZPS) im Besitz des einzigen direkten Nachbargrundstücks in Höckes „Refugium“ – dem braunen Haus von Bornhagen. Das ZPS errichtet jetzt 24 Betonstelen vor dem Haus von Deutschlands größtem Hetzer.

Auf die Debatte um die meines Erachtens unnötige Überwachungsaktion im Vorfeld, die man aber durchaus als allgemeine Kritik des RechtsLinks-Konflikts lesen könnte, bin ich gespannt und weil diese angebliche „Überwachung“ so unnötig ist (und aufwändig wäre), nehme ich sie dem ZPS nicht wirklich ab. Für Beton am Bau braucht man keine Logfiles und die konzeptionell-ästhetische Ergänzung kann man auch so dazuerfinden. Funktioniert ja auch. Aber selbst wenn die Überwachungs real ist: Wie weit darf die Zivilgesellschaft gehen, um die Organisation des Faschismus zu verhindern? Gute Frage, ZPS. Und Kunst ist schonmal ne gute Antwort.

Sorry for the AI-Fix but well: Here's a Neural Network trained on Symbolism in Advertising, it generates virtual Meaning from learned Meanings. The knacker for me is, that Database of Meaning itself is a derivation from our own accumulated Meaning. Sunglasses are cool, yeah, but they are also a tool. On the other hand, Advertising is mighty good at exploiting our Symbolism, and the results are accordingly pretty good at spotting ambivalent messages in ads. Reliable Irony-Detector next. (via Samim)

Paper: ADVISE – Symbolism and External Knowledge for Decoding Advertisements

Advertisements are a powerful tool for affecting human behavior. Product ads convince us to make large purchases, e.g. for cars and home appliances, or small but recurrent purchases, e.g. for laundry detergent. Public service announcements (PSAs) encourage different behaviors, e.g. combating domestic violence or driving safely. To stand out from the rest, ads have to be both eye-catching and memorable
[74], while also conveying the information that the ad designer wants to impart. All of this must be done in limited space (one image) and time (however many seconds the viewer is willing to spend looking at an ad).

How can ads get the most “bang for their buck”? One technique is to make references to knowledge that viewers already have, in the form of e.g. cultural knowledge, conceptual mappings, and symbols that humans have learned [58, 39, 61, 38]. These symbolic mappings might come from literature (e.g. a snake symbolizes evil or danger), movies (e.g. motorcycles symbolize adventure or coolness), common sense (a flexed arm symbolizes strength), or even pop culture (Usain Bolt symbolizes speed).

In this paper, we describe how to use symbolic mappings to predict the messages of advertisements. On one hand, we use the symbol bounding boxes and labels from the Ads Dataset of [23] as visual anchors to ideas outside the image. On the other hand, we use knowledge sources external to the main task, such as object detection, to better relate ad images to their corresponding messages. These are both forms of using outside knowledge which boil down to learning links between objects and symbolic concepts. We use each type of knowledge in two ways, as a constraint or as an additive component for the learned image representation.

Gib mir den Rest, Baby…

Davids Dick is Pants

RageOn verkauft den Pimmel von Michelangelos David auf Leggins und Shorts. You're welcome. (via Boing Boing)

Wenn ich hier über Illus oder Malerei schreibe, benutze ich oft das Wort „Strich“: Picassos Strich war proportional-verschoben und schwungvoll, Bill Watterssons Strich wirkt fragil aber kräftig, Mike Mignolas Strich ist sort-of-brutalistisch und so weiter. Der „Strich“ eines Illustrators ist seine Handschrift im Kontext einer Zeichnung.

Jetzt haben Wissenschaftler AIs genau auf diesen „Strich“ trainiert: Ein Neural Network trainierten sie auf die Eigenschaften des künstlerspezifischen Strichs (Picasso = „proportional-verschoben“, „schwungvoll“), und ein weiteres NN, um diese Eigenschaften in einem einzigen Strich zu bewerten („Dieser Strich von Picasso ist zu 80% proportional-verschoben und 60% schwungvoll“).

Damit können sie nun nicht nur Künstler anhand eines einzigen Pinselstrichs identifizieren (mit 80% Erfolgsquote), sondern in Kombination konnten die AIs auch Fälschungen anhand eines einzigen Striches in der Zeichnung feststellen – in 100% aller Fälle.

Technology Review: This AI Can Spot Art Forgeries by Looking at One Brushstroke

In a new paper, researchers from Rutgers University and the Atelier for Restoration & Research of Paintings in the Netherlands document how their system broke down almost 300 line drawings by Picasso, Matisse, Modigliani, and other famous artists into 80,000 individual strokes. Then a deep recurrent neural network (RNN) learned what features in the strokes were important to identify the artist.

The researchers also trained a machine-learning algorithm to look for specific features, like the shape of the line in a stroke. This gave them two different techniques to detect forgeries, and the combined method proved powerful. Looking at the output of the machine-learning algorithm also provided some insight into the RNN, which acts as a “black box”—a system whose outputs are difficult for researchers to explain.

Since the machine-learning algorithm was trained on specific features, the difference between it and the RNN probably points to the characteristics the neural network was looking at to detect forgeries. In this case, it was using the changing strength along a stroke—that is, how hard an artist was pushing, based on the weight of the line—to identify the artist. With both algorithms working in tandem, the researchers were able to correctly identify artists around 80 percent of the time.

The researchers also commissioned artists to create drawings in the same style as the pieces in the data set to test the system’s ability to spot fakes. The system was able to identify the forgeries in every instance, simply by looking at a single stroke.

Lucia Dossin wandelt Selfies per Script in Exceltabellen, lässt diese dann von einem Rechner vorlesen und tippt die neuen ASCII-Selfies per Schreibmaschine zurück ins Analoge. Nice!

Performance/installation where selfies are typed out by a human using a typewriter. The characters to be typed are voice-dictated by a computer that converts a face to a series of ASCII characters. While being portrayed, the subject can listen to the dictation. The project is a derivation of Excelfie - Excel meets selfie.

1. take a selfie snapshot
2. read each pixel's intensity value (how dark/light it is) from the selfie file
3. convert this value into a character (according to the set of characters that you want to use)
4. place these characters inside an excel file, each in the corresponding cell, using the image file structure (number of rows and columns) as reference.

Gib mir den Rest, Baby…

Jonathan Haidt auf Twitter: „A great analogy for understanding effects of social media on society: we are like the first city dwellers, subject to epidemics we don't understand“. I agree, I'll steal this analogy and „intellectual indoor plumbing“ seems to be my new job. Sure, why not.

USA Today: Social media threat: People learned to survive disease, we can handle Twitter

We don’t know much about the spread of ideas, or what would constitute the equivalent of intellectual indoor plumbing. But civics and skepticism would be a good start. […]

an early city was more like a refugee resettlement camp than a modern urban area […] the pioneers who created this historically novel ecology could not possibly have known the disease vectors they were inadvertently unleashing.

Then I ran across this observation on Twitter: “The Internet is rewiring brains and social relations. Could it be producing a civilizational nervous breakdown?” And I saw another article noting that depression in teens skyrocketed between 2010 and 2015, as smartphones took over. It made me wonder if we’re in the same boat as the neolithic cities, only for what you might call viruses of the mind: Toxic ideas that spread like wildfire.

Hunters and gatherers were are far less risk for infectious disease because they didn’t encounter very many new people very often. Their exposure was low, and contact among such bands was sporadic enough that diseases couldn’t spread very fast. It wasn’t until you crowded thousands, or tens of thousands of them, along with their animals, into small dense areas with poor sanitation that disease outbreaks took off. Instead of meeting dozens of new people per year, an urban dweller probably encountered hundreds per day. Diseases that would have affected only a few people at a time as they spread slowly across a continent (or just burned out for lack of new carriers) would now leap from person to person in a flash.

Likewise, in recent years we’ve gone from an era when ideas spread comparatively slowly, to one in which social media in particular allow them to spread like wildfire. Sometimes that’s good, when they’re good ideas. But most ideas are probably bad; certainly 90% of ideas aren’t in the top 10%. Maybe we don’t know the mental disease vectors that we’re inadvertently unleashing.

Just Type Stuff

„Type stuff in, see what happens!“ by Terry Cavanagh.

Ein Neural Network ist super dabei, realistische Bilder von tausenden virtuellen Cockerspaniels zu generieren, hat aber keinen Plan davon, wie ein Dackel aussieht. Watson kann gut Worte assoziieren, versagt aber bei Go! und AlphaGo kann Weltmeister schlagen, versagt aber bei StyleTransfer und StyleTransfer kann auch nur 1 Style pro Transfer.

Das liegt bislang vor allem daran, dass Neural Networks meistens nur eine Kategorie/ein Muster/eine Idee reproduzieren, auf deren Datasets sie trainiert wurden – bei verschiedenen Datasets (oder verschiedenen Kategorien in Datasets) wird es kompliziert und schwierig und die Neural Networks kollabieren in Noise. Deshalb betrachtete ich Artificial General Intelligence (AGI) bislang für relativ unrealistisch. Spezielle Aufgaben und Funktionen erfüllen künstliche Intelligenzen jetzt bereits prima, in Kombination eher nich so.

Und deshalb wiederum ist dieses Paper (PDF) einigermaßen beeindruckend, in dem ein Neural Network das komplette ImageNet-Dataset mit seinen tausenden Kategorien halbwegs erkennbar reproduzieren kann.
Die technischen Details verstehe ich nicht, aber das hier dürfte eine der ersten AI-Architekturen sein, die 1000 Gedanken gleichzeitig „im Kopf halten“ kann.

Ian Goofellow: „While GANs have been great at generating realistic images from a single category (one GAN for faces, another GAN for buildings) they've always struggled to fit all 1,000 classes of ImageNet with a single GAN. This ICLR submission has done it“: Spectral Normalization for Generative Adversarial Networks.

Needless to say: We're all gonna die.

2017/11/20 Movies #Trailer

Trailerfest: Incredibles 2, Rampage, The Road Movie, Waco, The Strangers: Prey at Night, A Quiet Place

Erster Teaser zu Pixars Incredibles 2, zum Fantasy-Dings A Wrinkle in Time, zur Gameverfilmung Rampage mit Dwayne Johnson, Neue Trailer…

Toller Beitrag zum derzeit noch laufenden Novel Generation Month 2017: A Physical Book ist ein „physikalischer“ Remix eines Texts, dessen Lettern in einer Game-Engine virtueller Gravitation, Anziehung und whatnot ausgesetzt werden, dann fotografiert der Code die neu gerenderten Seiten und fügt sie zu einem neuen „Buch“ zusammen. Nice! (Und leider alles lowrez).

A Physical Book makes a digitized book “physical” by rendering it in a simulated space where properties like gravity, friction, and velocity all apply. The program randomly perturbs the letters, then takes a snapshot at a point in time, re-assembling the images into a new, “un-digitized” book. The raw, uncorrected scanned text of The Up-To-Date Sandwich Book: 400 Ways to Make a Sandwich (1909) is re-imagined as this 251 page (50,964 words) book.

2nd Fav: Vanish Like: The Novel, eine Anwendung des „Schwindeschemas“ des alten Abracadabra-Zauberspruchs auf beliebigen Text:

apparently the word ABRACADABRA is supposed to mean "vanish like the word", and in a magic charm, you'd write it like this:

ABRACADABRA
ABRACADABR
ABRACADAB
ABRACADA
ABRACAD
ABRACA
ABRAC
ABRA
ABR
AB
A

And whatever you're trying to banish would, by the power of sympathetic magic, also vanish, just like the word ABRACADABRA vanishes there, just like it says it will.

Now, this sort of vanishing trick seems amenable to computer generation. Say I wanted to start with a paragraph, and remove words one by one until they're all gone, and assemble a "vanishing novel" this way.

w.r.t. NaNoGenMo, the significant part here is not figuring out how to implement this; it's quite straightforward. The significant part is determining how many words the first paragraph should have so that the total number of words in the novel is as close to 50,000 as possible, without going under.

Zombie-Ants are Puppets

Neues von meinen geliebten Zombie-Ameisen, stellt sich raus: Der Pilz wächst nicht in das Gehirn, sondern verwächst mit den Muskeln…

Skydick

Jetzt neu: René hat wieder Internet (Vodafone-Story all over again but miniscule) und Okanogan County hat einen gigantischen Penis am…

2017/11/19 Tech #Jump #Robots

Robot Backflip

Well, that happened:

2017/11/18 Music #Metal #R.I.P.

Mein allererstes Album war Back in Black von AC/DC, kurz danach For Those About To Rock. Ich war 8 und die Band hat mich mit der musikalischen Erstsozialisation geprägt wie wenig anderes.

Heute ist Malcolm Young im Alter von nur 64 Jahren gestorben. Danke für die 11, Malcolm. We salute you! \m/

Von AC/DCs FB-Seite:

Today it is with deep heartfelt sadness that AC/DC has to announce the passing of Malcolm Young.

Malcolm, along with Angus, was the founder and creator of AC/DC.
With enormous dedication and commitment he was the driving force behind the band.
As a guitarist, songwriter and visionary he was a perfectionist and a unique man.
He always stuck to his guns and did and said exactly what he wanted.
He took great pride in all that he endeavored.
His loyalty to the fans was unsurpassed.

.

As his brother it is hard to express in words what he has meant to me during my life, the bond we had was unique and very special.

He leaves behind an enormous legacy that will live on forever.

Malcolm, job well done.

Gib mir den Rest, Baby…

2017/11/15 Music #Musicvideos

Musicvideos: Klangstof, Chromatics, Loma, Black Hones, Palace, Baxter Gury, The Howlin, alt-J

Klangstof - Resume Chromatics – City Beds (2004 Demo) Loma - Black Willow Black Honey – Dig Palace – Holy…

Siggraph 2017 Emerging Technologies Trailer

Der neue Siggraph-Trailer wie immer mit furchtbarem Soundtrack: Technical Papers Trailer 0:20 – Interactive Wood Combustion 0:50 – Hyperbolic Geometric…

2017/11/15 Movies #Trailer

Deadpool 2 – Trailer

Erster Trailer zu Deadpool 2 mit Bob Ross' Frisur. After surviving a near fatal bovine attack, a disfigured cafeteria chef…

Underground Resistance hat anscheinend einen Deal mit Carhartt gedingst und jetzt auch schnieke Fashion (neben den alten UR-Shirts) am Start. (via Ronny)

Hi-Tech garments for the future of work: We've joined forces with storied Detroit based artists collective Underground Resistance and deliver a capsule collection for all circumstances of life.

Das i-D-Mag hat 'nen Fashionshot mit Tresor-Hegeman und Modeselektor und mir tut das schon ein bisschen weh, muss ich gestehen: „Die exklusive Capsule Collection von Underground Resistance und Carhartt WIP besteht aus der Car-Lux Hooded Jacket, dem Watch Beanie, dem Siberian Parka, einem Pocket T-Shirt und einer Simple Pant. Die Teile sind ab dem 17. November weltweit in den Carhartt Stores und online erhältlich.“

Mad Mike Banks braucht Geld, vermute ich mal, und in den 90ern hätte der Fashion-Mitte-Hipstern eher den Kopf abgebissen als viel zu teures UR-Fashion-Gelöt anzuleiern. Andererseits ist die „Working Class“ im Gegensatz zu 1989 ohnehin nur noch ein Label, genau wie Underground Resistance, die ihren Techno vor langer Zeit mal auf den Freiheitskampf in einer automatisierten Arbeitsumgebung beriefen. Jetzt halt Fashion. Moderne Zeiten.

Gib mir den Rest, Baby…

Update zum Plastic Planet: Nachdem sie vor zwei Jahren bereits das „Age of Plastic“ ausriefen und neuartiges Plastikgestein an den Stränden von Hawaii fanden, haben sie Plastik nun auch in den Bäuchen von Lebewesen auf dem Meeresboden des Marianengrabens in 11 Kilometern Tiefe gefunden. Future, yay!

Guardian: Plastics found in stomachs of deepest sea creatures

Animals from the deepest places on Earth have been found with plastic in their stomachs, confirming fears that manmade fibres have contaminated the most remote places on the planet.

The study, led by academics at Newcastle University, found animals from trenches across the Pacific Ocean were contaminated with fibres that probably originated from plastic bottles, packaging and synthetic clothes. Dr Alan Jamieson, who led the study, said the findings were startling and proved that nowhere on the planet was free from plastics pollution. […]

The study tested samples of crustaceans found in the ultra-deep trenches that span the entire Pacific Ocean – the Mariana, Japan, Izu-Bonin, Peru-Chile, New Hebrides and Kermadec trenches. These range from seven to more than 10 kilometres deep, including the deepest point in the ocean, Challenger Deep in the Mariana Trench.

2017/11/15 Fun Movies #Alien #Food

Facehugger Chicken

The Facehugger Feast Roasted Chicken: „Made from a full-sized roasting chicken, snow crab legs, and a homemade chicken sausage tail,…