Energy Statistics – European Design
The Swiss Federal Office of Energy (SFOE) disposes of a big mass of information concerning the subject of energy. Until now these information has only been available in a very uninspiring form; too complicated and difficult to comprehend. Our task was to show these numbers and complexe statistics in an easy comprehensible and appealing way. Therefore we have tried to find similarities to trivial objects, or images and to stage these numbers in an striking and amusing way to the beholder, so that every one can understand it easily.
ICT Graphics Lab
With cast and crew from Benjamin Button and Avatar, Digital Emily was part of the Academy of Motion Picture Arts and Sciences'"Acting in the Digital Age" event, 4/22/2010 Introduction: Over the last few years our lab has been developing a new high-resolution realistic face scanning process using our light stage systems, which we first published at the 2007 Eurographics Symposium on Rendering. In early 2008 we were approached by Image Metrics about collaborating with them to create a realistic animated digital actor as a demo for their booth at the approaching SIGGRAPH 2008 conference. Since we'd gotten pretty good at scanning actors in different facial poses and Image Metrics has some really neat facial animation technology, this seemed like a promising project to work on.
Alpha: Making the World's Knowledge Computable
Goals Wolfram|Alpha's long-term goal is to make all systematic knowledge immediately computable and accessible to everyone. We aim to collect and curate all objective data; implement every known model, method, and algorithm; and make it possible to compute whatever can be computed about anything. Our goal is to build on the achievements of science and other systematizations of knowledge to provide a single source that can be relied on by everyone for definitive answers to factual queries. Wolfram|Alpha aims to bring expert-level knowledge and capabilities to the broadest possible range of people—spanning all professions and education levels. Our goal is to accept completely free-form input, and to serve as a knowledge engine that generates powerful results and presents them with maximum clarity.
Yvonne Jansen - Embedded Data Representations
People Wesley J. Willett, University of Calgary Yvonne Jansen, (then) University of Copenhagen Pierre Dragicevic, Inria Abstract We introduce embedded data representations, the use of visual and physical representations of data that are deeply integrated with the physical spaces, objects, and entities to which the data refers.
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Image analysis
Image analysis is the extraction of meaningful information from images; mainly from digital images by means of digital image processing techniques.[1] Image analysis tasks can be as simple as reading bar coded tags or as sophisticated as identifying a person from their face. Computers are indispensable for the analysis of large amounts of data, for tasks that require complex computation, or for the extraction of quantitative information. On the other hand, the human visual cortex is an excellent image analysis apparatus, especially for extracting higher-level information, and for many applications — including medicine, security, and remote sensing — human analysts still cannot be replaced by computers. For this reason, many important image analysis tools such as edge detectors and neural networks are inspired by human visual perception models. Computer Image Analysis[edit] Techniques[edit]
Venise Cinema
71st Venice Film Festival 27th August > 6th September 2014 The project which will increase the seating capacity of the Sala Darsena theatre on the Lido from the current 1300 seats to 1409 was presented on 7th March 2014; the project also includes the completion of plans to regenerate the surrounding grounds. The 71st Venice Film Festival will run 27th August to 6th September, directed by Alberto Barbera.
Adobe After Effects CS4 * Use Brainstorm to experiment and explore settings
Brainstorm creates multiple temporary variants of your composition and displays them in a grid. You can save any number of these variants, apply one to the current composition, or redo the Brainstorm operation using only the variants that you choose as input. Brainstorm uses genetic algorithms to mutate and select property values used as input into each Brainstorm operation.
Treemaps: Data Visualization of Complex Hierarchies
Treemaps are a data-visualization technique for large, hierarchical data sets. They capture two types of information in the data: (1) the value of individual data points; (2) the structure of the hierarchy. Definition: Treemaps are visualizations for hierarchical data. They are made of a series of nested rectangles of sizes proportional to the corresponding data value. A large rectangle represents a branch of a data tree, and it is subdivided into smaller rectangles that represent the size of each node within that branch. Key Uses of Treemaps
BIGGEST TEAHUPOO EVER, SHOT ON THE PHANTOM CAMERA. // Surfing Videos
iframe This day at Teahupoo- Aug 27th 2011 during the Billabong Pro waiting period is what many are calling the biggest and gnarliest Teahupoo ever ridden. Chris Bryan was fortunate enough to be there working for Billabong on a day that will go down in the history of big wave surfing. The French Navy labeled this day a double code red prohibiting and threatening to arrest anyone that entered the water. Kelly Slater described the day by saying "witnessing this was a draining feeling being terrified for other people's lives all day long, it's life or death.
Aaron - computer artist A.I.
The Robot as an Artist Aaron, the first robot artist, is the brainchild of Professor Harold Cohen, the British abstract painter. The result of 23 years of research and $150,000 Professor Cohen has pushed forward into the realm of artificial intelligence in the development of this unique computer driven robot.. Most recently Aaron created original paintings at The Computer Museum in Boston. Aaron "creates" several images in his computer memory each night. Cohen selects one and for 5-6 hours during the next day Aaron makes line drawings, mixes colors, executes painting strokes, and even cleans the brushes and paint cups.
Participatory Data Physicalization: a new space to design informative experiences
“Between 30% and 50% of all cancer cases are preventable. Prevention offers the most cost-effective long-term strategy for the control of cancer” (World Health Organisation). Currently, in Italy, the awareness about cancer diffusion and prevention is pretty low, despite many educational websites, printed and online campaigns. On an average level, cancer is still perceived as a fatal disease, and this affects the information process. Information avoidance is, indeed, a typical behavior, especially on cancer-related issues.
Watson (computer)
Watson is an artificially intelligent computer system capable of answering questions posed in natural language,[2] developed in IBM's DeepQA project by a research team led by principal investigator David Ferrucci. Watson was named after IBM's first CEO and industrialist Thomas J. Watson.[3][4] The computer system was specifically developed to answer questions on the quiz show Jeopardy!