Month: March 2015

“1010” MURAL KNOTENPUNKT 14 from Affenfaust Galerie on Vimeo.

His art deals with language, symbols and signs, with automatisms of perception and the structures of society. In his paperworks he pruposely uses a beautiful aesthetic to bring critical topics to the viewers attention. He lures the eye skilfully along well-balanced colour shades deep down in an illusory black chasm. In his monochrome acrylic paintings of birdworms, he creates a rather dark atmosphere with these dark convolving creatures. 1010 i a conceptualist. His art doesn´t explain itself. An elaborate system underlies it, which evolved over the last years.

Affenfaust Galerie presents:
02.10. – 05.10. | Kolbenhof | knotenpunkt.net/
1010, AITCH (RO), ALEXANDER ZISSOU, ALEX DIAMOND, AMANDINE URRUTY (FR), ANDREA WAN (CAN), ANTON UNAI, BASE TWENTYTHREE, BENE ROHLMANN, BJÖRN HOLZWEG, BOJE ARNDT KIESIEL, BRETT FLANIGAN (USA), CLEMENT COUDERC (F), DARKO CARAMELLO, DOPPELDENK, DXTR, EL BOCHO, ELMAR LAUSE, ELSA DESSARPS (F), FABIAN WOLF, FLYING FÖRTRESS, GOLDEN GREEN, HADRIEN ALVAREZ (F), HEIKO ZAHLMANN, JOYS (IT), JULIA BENZ, JULIETTE DÈJOUÈ (F), KI YOON KO, LAURENCE VALLIÈRES (CAN), LOOK, MARKUS GENESIUS, MATHIAS SCHECH (F), MONOM, MYMO, NELIO (F), NICOLAS BARROME (F), NICOLAS FRÉMION (F), NICOLAS NICOLINI (F), NONSKI, NYCHOS (AT), OTECKI (PL), PUSH, RIOT 1394, ROMAN KLONEK, SADDO (RO), SINA GREINERT, SINYOUNG PARK (KOR), SZUM A.K.A. STACHUSZUMSKI (PL), TOBIAS KROEGER, VERMIBUS, VICTOIRE DECAVELE (F), VIDAM, WE ARE VISUAL, WOLFGANG KRELL, YOOREE YANG (KOR), ZIPPER DIE RAKETE
Murals
The Knotenpunkt14 – festival starts with a Mural-Kick-Off in september.
Exhibition
Exhibition runs from the 2nd october until the 5th october. Location: Kolbenhof / Hamburg-Bahrenfeld, Germany.
Guided tours
Please sign up under tour@knotenpunkt.net.
Max. 20 persons per tour. 5 € fee. Timetable see below.
Admission Fee
Exhibition 5 €
Exhibition and Club 12 €
Club 10 €
DJs
Friday: DJ Dynamite, Deo&Z-Man, Steve David
Saturday: DJ Phono

(Source: https://player.vimeo.com/)
by perlajulieta

The Himalayas from 20,000 ft. from Teton Gravity Research on Vimeo.

The aerial cinema experts at Teton Gravity Research release the first ultra HD footage of the Himalayas shot from above 20,000 ft. with the GSS C520 system, the most advanced gyro-stabilized camera system in the world. Filmed from a helicopter with a crew flying from Kathmandu at 4,600 ft. up to 24,000 ft. on supplemental oxygen, these are some of the most stable, crisp, clear aerial shots of these mountains ever released, which include Mt. Everest, Ama Dablam, and Lhotse.

Sound design and mix by Jeff Cormack at Play+Record

(Source: https://player.vimeo.com/)
by perlajulieta

AI: Smart CCTV Features Facial Recognition Voice Recognition & Security …
I returned from work like every other day… first thing, go to the kitchen to check the messages on the house phone… believed or not it is very useful… but that is for another post… Suddenly I heard a voice telling me that my dog was found in the middle of the street on the verge to be smashed by a car. What! I called her back. I went for my dog to the specific location she chose … There is another long story about the details… The main point is why my dog was on the streets. Still a mystery! If I have had my surveillance camera I would have known what had happen… Some UPS packages have been stolen from houses making big news; some owners have a surveillance camera and had their packages back thanks to their surveillance camera… What are we waiting for? The recognition of faces, situations, unexpected objects… in our cities, can be identified and taking care of in a better, faster and efficient way than ever before. If you are concerned about your privacy then believe me a machine does not care, and the cameras are not programmed to care. Let’s be efficient.

(Source: https://www.youtube.com/)
by perlajulieta

Deep Learning for Text Understanding from Scratch

LET THE MACHINE LEARN EVERYTHING! The network is designed as a traditional deep ConvNet, with successions of convolutional and pooling layers, finishing with 2 fully connected layers. The succession of convolutions makes it possible to learn very diverse sets of features, by learning convolutions of convolutions of convolutions (as if we looked at, for example, the blurred embossed image of the edges of an image, but with the actual operation being learned by the system). We learn to read like that! We arrange images in our brain, we learn the characters and associate them with sounds. We practice convolutions of convolutions until we get 100% accuracy. Babies go by images, and then we rhyme with them or say words and little phrases with the images. We keep doing that over time until they train their brain to evaluate images of entire sentences; we still go on for the ones who train themselves to fast reading.

Deep Learning for Text Understanding from Scratch

by perlajulieta