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John Bardakos - Home. Past visions penned by Frederick William IV. Haftungsausschluss Eine Haftung für die Richtigkeit, Vollständigkeit und Aktualität dieser Webseiten kann trotz sorgfältiger Prüfung nicht übernommen werden.

Past visions penned by Frederick William IV

Die Fachhochschule Potsdam übernimmt insbesondere keine Haftung für eventuelle Schäden oder Konsequenzen, die durch eine direkte oder indirekte Nutzung der angebotenen Inhalte entstehen. Es wird ausdrücklich darauf hingewiesen, dass für den Inhalt verlinkter Seiten ausschließlich deren Betreiber verantwortlich ist. Trotz sorgfältiger inhaltlicher Kontrolle übernehmen wir keine Haftung für die Inhalte externer Links. Für Schäden, die aus der Nutzung oder Nichtnutzung dieser Informationen entstehen, haftet ausschließlich der Betreiber der Seite, auf die verwiesen wurde. Sollten Sie Kenntnis von verlinkten Seiten mit rechtswidrigen Inhalten erlangen, bitten wir Sie, uns dies mitzuteilen. Urheberrecht Wir erlauben ausdrücklich und begrüßen das Zitieren unserer Dokumente und Webseiten sowie das Setzen von Links auf unsere Website. Next Big Test for AI: Making Sense of the World - MIT Technology Review. A few years ago, a breakthrough in machine learning suddenly enabled computers to recognize objects shown in photographs with unprecedented—almost spooky—accuracy.

Next Big Test for AI: Making Sense of the World - MIT Technology Review

The question now is whether machines can make another leap, by learning to make sense of what’s actually going on in such images. A new image database, called Visual Genome, could push computers toward this goal, and help gauge the progress of computers attempting to better understand the real world. Teaching computers to parse visual scenes is fundamentally important for artificial intelligence. It might not only spawn more useful vision algorithms, but also help train computers how to communicate more effectively, because language is so intimately tied to representation of the physical world.

Visual Genome was developed by Fei-Fei Li, a professor who specializes in computer vision and who directs the Stanford Artificial Intelligence Lab, together with several colleagues. Spécialité Arts Plastiques. Finalité indifférenciée.

Spécialité Arts Plastiques

ME5HAR Master Arts. Places2: A Large-Scale Database for Scene Understanding. Next Big Test for AI: Making Sense of the World - MIT Technology Review. Xensr. North Kiteboarding and PIQ. Next Big Test for AI: Making Sense of the World - MIT Technology Review. Smart art: Hack the Space at Tate Modern. We are all bleeding data.

Smart art: Hack the Space at Tate Modern

From our email addresses and tweets to our phonecalls and the items we scan at the checkout, the ever-expanding amount of information about us and the world we live in is being collected by governments, corporations and advertisers. Yet, as 140 developers, coders, designers and artists set out to prove this weekend, data – be it big or small – can also be a creative resource. Launching on Friday evening and running for 24 hours, the first ever art hack at Tate Modern did not involve destroying the gallery's priceless collection, or illegally breaking through the firewalls of secret government databases. Instead, camped out overnight in the gallery's cavernous Turbine Hall, participants worked through the night on a single brief: "Take any form of data and transform it into a creative digital artwork. " On the surface, a downbeat toy. Le curating algorithmique.

« En 1957, Robert A.

Le curating algorithmique

Big Bang Data. Decode Exhibition Points Way to Data-Driven Art. The cryptic works on display at London’s Decode: Digital Design Sensations exhibition manipulate raw data as a kind of virtual pigment, finding form and fun amid the sensory overload that threatens to overwhelm the 21st-century hive mind.

Decode Exhibition Points Way to Data-Driven Art

Several exhibition pieces showcased at Victoria and Albert Museum depend on human presence to produce their full effect. A motion-detecting eyeball, for examples, blinks each time a visitor blinks. In another piece, a video screen enables visitors to “paint” smears of color through the power of their gyrations. Other installations, on display through April 11, strip-mine data streams from Twitter, translate a day’s worth of flight routes into animated abstract art and hurl text-message fragments onto dozens of tiny display screens. “Decode is about demystifying the black art or magic of digital while showing that this work can be poetic, emotional and poignant,” show co-curator Shane R.J. Chap3 tout. Data Sketches. Visualized Milan. #ODDITYVIZ Space Oddity – a visual deconstruction. Stefanie Posavec.

When envisaging a typical data visualiser at work, you’d probably conjure up images of a person slaving over rows of numbers and wrangling spreadsheets.

Stefanie Posavec

But Denver-born and London-based data designer Stefanie Posavec is of a different breed. Rather than simply turning a set of numbers into an information graphic, she finds data in things we wouldn’t normally associate with this type of information. She calls this ‘hidden data’, and it could be found in something as unexpected as a novel or a song lyric. Take her Literary Organism series she completed as part of her MA at Central Saint Martins. Armed with a set of highlighters and a ballpoint pen, she set about colour coding, reconstructing and presenting Kerouac’s seminal On the Road in an entirely new way. Manual data design from Stefanie Posavec. Designer Stefanie Posavec talks about her process of data collection, analysis, and design.

Manual data design from Stefanie Posavec

There’s a lot of advantages to knowing how to program, but there can also be value in meticulous manual discovery if you’re willing to put in that extra time. Of course, it’s still all about the data: So what inspires this level of analysis? DI BARTOLO. Bibliothèques et Open data : retour d’expérience de la Bibliothèque départementale des Côtes d’Armor. Hélène Bert est chargée des ressources numériques à la Bibliothèque départementale des Côtes d’Armor depuis novembre 2014, après un parcours marqué par la diversité d’expériences professionnelles en lecture publique : Montbéliard, La Flèche, Vitré, Ploufragan, Saint-Brieuc, Guingamp, et en bibliothèque universitaire : IUFM de Bretagne.

Bibliothèques et Open data : retour d’expérience de la Bibliothèque départementale des Côtes d’Armor

2017 Hack. This guide lists the categories for judging the projects that will be presented at the conclusion of the hackathon.

2017 Hack

Each category has a weighted percentage that will be used to calculate the final score for each team. This explanatory material should be used as a guide for scoring each area. Innovation 30% The project takes a unique, interesting, and creative approach to solving the Information Overload problem as identified by the team. This criterion looks at novel or cutting edge methods for user interaction, data manipulation and presentation, and use of new technology. Event:2016-07 [ wiki] The second Swiss Open Cultural Data Hackathon took place on 1-2 July 2016 at the Basel University Library. Join us on Facebook or Twitter Facebook (Swiss Cultural Data Hackathon) Share your data in view of the next Open Cultural Data Hackathon. CODEX MIT Media Lab: A Literary Hackathon. Fabien Giraud & Raphaël Siboni.

– Press release for The Unmanned exhibition at Casino Luxembourg, January 2014 – “The first film shot did not occur with workers leaving a Lyon factory on 28 March 1895, but six months later, when at the end of another work day, the female workers walk once again in front of their employers’ camera, squeezing into the frame and speeding up their steps to adapt to the reel’s running time.

It’s the invention of a new physics, operating by the pressure of time spans on the body, by the condensation of space within the frames. Cinema is thus not simply the invention of a rhythmic drive mechanism for film to render the world’s movement, but the act of producing new bodies and new rhythms. Cinema has nothing to do with representation.

It is a point of morphological inflection. Fabien Giraud and Raphaël Siboni’s recent work is part of the historical parenthesis that separates these two factory exits. Predictive Art Bot □ Ordis et mémoires fantômes. S’il ne se passe pas une semaine sans qu’un magazine titre sur le pouvoir des algorithmes dans notre quotidien, pointant notre dépendance aux machines et notre crédulité face à leur capacité à nous mener par le bout du nez, il existe aussi d’autres façons de les regarder - avec un peu de poésie. Haunted by Algorithms. IoT Art - Real Time Networked Art Installations. 1) eCLOUD Project: Image: spencer lowell and Installed in the San Jose International Airport eCLOUD is a permanent art work by Aaron Koblin, Nik Hafermaas and Dan Goods.

It is constructed from polycarbonate tiles that fade in between transparent and opaque states and are controlled by real time weather from NOAA from locations around the world. This data is used to create a simulation representing weather from any of the international locations by turning the individual tiles on and off in a certain pattern. The simulation is visualized within the cloud sculpture as well as on a dynamic display placed at eye level in the terminal. View the process, technology and additional details about the project here.2) Living Light: Image: The LivingDesigned by Soo-in Yang and David Benjamin of The Living where one of their overall goals is to provide architecture and facades that inform, are functional, and begin to use data to become more efficient.

Software Studies Initiative: new book "Data Drift: Archiving Media and Data Art in the 21st Century" (editors: Rasa Smite, Raitis Smits, Lev Manovich) Data Drift: Archiving Media and Data Art in the 21st Century Editors: Rasa Smite, Raitis Smits, Lev Manovich Publisher: RIXC, LiepU MPLab (October 8, 2015) Language: English ISBN-10: 9934843439 ISBN-13: 978-9934843433 Paperback: 296 pages Product Dimensions: 8.4 x 5.8 x 0.7 inches Available on Amazon Malraux's imaginary museum has become a reality of our digital age. Everyday, a massive amount of new visual, textual, and transactional data is added to this vast archive.

How do we decide what bits of contemporary digital culture to preserve, study and curate given that its universe is constantly expanding? The parallel questions of selection, archiving and curating are important to address with regards to all recent media art forms - from early video, computer and telematic art to later networked, web-based, software, and data art. Interactive Globe: Small Arms Imports & Exports. Pitch Interactive, Inc. - A Data Visualization Studio. Software Studies Initiative: new book "Data Drift: Archiving Media and Data Art in the 21st Century" (editors: Rasa Smite, Raitis Smits, Lev Manovich) Data visualization design and the art of depicting reality. As part of an ongoing exhibition series with the Hyundai Card Design Library in Seoul, Korea, MoMA senior curator Paola Antonelli has organized three capsule exhibitions that highlight new frontiers in contemporary design and encourage international dialogue.

The second exhibition, Data Visualization, opened in Seoul in July 2015 and has recently concluded. We live in an age where we are bombarded by data gathered by sensors, arrayed by software, and dispersed via ever-proliferating networks. To visualize this data is to understand it. As the projects in this exhibition demonstrated, designers and scientists create diagrams, three-dimensional maps, and other graphics to help us make sense of the copious amount of information with which we are confronted daily. The digital age of data art. Maxence Grugier is a French journalist specializing in new media art and digital art for more than 15 years, writing for Digitalarti Media and other publications.

Many artists use as material for art the raw data produced by our societies, seeking innovative means of display or transforming it into a work of art. By blurring boundaries between art and information, data art dispels the myth of the romantic artist while offering a fundamental artistic act in a critical commentary of the digital age in which we live. Amazon. Sport 2.0. Amazon. Leader de la biométrie et de l'identité numérique. La formation académique – L'ÉCOLE DE L'AIR. L’Ecole de l’air, pleinement inscrite dans la capacité « Formation & entrainement » et en phase avec les orientations stratégiques de l’Armée de l’air, est chargée de former tous les futurs officiers en les préparant à court et à long terme par les meilleures formations académiques initiales possibles.

PRISME : human behavior exploration core facility - Institut du Cerveau et de la Moelle Epinière. Prisme-ICM Accueil. VideoScout, combined Opta data and video available fully online. Prisme-ICM Accueil. PRISME : human behavior exploration core facility - Institut du Cerveau et de la Moelle Epinière. Michel Paysant - Dessiner avec les yeux. L'Equipe Explore - La Data Révolution. STATS acquiert Prozone. STATS LLC a annoncé aujourd'hui avoir complété l'acquisition de Prozone, un pionnier dans le suivi des athlètes et dans l'analyse des performances sportives. Live Sports Feeds, Custom Sports Data Feeds, Sports Data API. Sport & Data : la compo gagnante ? Google ne peut pas « dépixelliser » une image comme dans les séries policières. Ces données à voir à l'Espace d'art de Nanterre.

The R graph Gallery – Inspiration and Help concerning R graphics. FlowingData. Best Data Visualization Projects of 2016. Visualization continues its merging into the everyday — less standalone and more of a medium that blends with words. I think this is partially because of a concentration on mobile. There’s simply less visual space on a phone than there is a giant computer screen, so the visualization is stripped or split up into smaller pieces that are more easily digested while scrolling. Whereas last year seemed exploratory and long explainer-ish, this year was nimble and quickfire. Or maybe this year’s election season is still fresh in my mind. I can’t be sure. Data Art, l'art d'un monde d'informations. En images : la surveillance et le Big Data vu par des artistes. Depuis l’affaire Snowden, la question de la surveillance de notre vie privée hante nos pensées. L’anonymat numérique est devenu un vrai enjeu pour des new-comers tel que Newmanity, un réseau social qui respecte la confidentialité de vos données.

CCTV Footage As Art: The Work Of William Betts. William Betts. William Betts. STUDIO for Creative Inquiry » Deep Lab. The Grand plan : Jakub Geltner. En images : la surveillance et le Big Data vu par des artistes. LAb[au] Toulouse Hacker Space Factory. We Make Porn. Atlas du temps présent. Quand les artistes contemporains s’intéressent aux données. Ces artistes engagés contre la collecte de données. Quand les artistes font de l'art avec les données numériques. L'intelligence artificielle de Google recompose une photo comme dans Les Experts. Google Brain super-resolution image tech makes “zoom, enhance!” a real thing. Google Brain super-resolution image tech makes “zoom, enhance!” a real thing. Google DeepMind could invent the next generation of AI by playing Starcraft 2. L'intelligence artificielle de Google recompose une photo comme dans Les Experts. Data Art, l'art d'un monde d'informations. Quand les artistes font de l'art avec les données numériques.

Ces artistes engagés contre la collecte de données. RYBN. Ces artistes engagés contre la collecte de données. LIRIS - Laboratoire d'Informatique en Image et Systèmes d'Information. Département Informatique et Interactions. SPSIS5A Specialite Imagerie numerique. LSIS. Département Informatique et Interactions.

Palais de Tokyo. Augmented reality for the armed forces - Thales. 12 - Commandant (Terre) Emmanuel Gardinetti et Questions / réponses - Colloque « Le soldat augmenté » - 8 juin 2015. Invisible Images (Your Pictures Are Looking at You) Invisible Images (Your Pictures Are Looking at You) Julian Oliver - projects. Que se passe-t-il quand les artistes pensent la technologie comme les ingénieurs ? Martha Rosler. Théorie du drone : de la fabrique des automates politiques. [1603.08695] Learning to Refine Object Segments.

[1506.06204] Learning to Segment Object Candidates. [1311.2524] Rich feature hierarchies for accurate object detection and semantic segmentation. Segmenting and refining images with SharpMask. Google engineer apologizes after Photos app tags two black people as gorillas.