Pandora for Streets/Smellevation Maps Team
The City for All hackathon was a big civic hit over the weekend. Nine teams competed for recognition and prizes at City Hall’s Bertha Knight Landes room. The theme of the hackathon was to find solutions for the challenges of aging and accessibility. The winner for Best Overall Innovation was the Pandora for Streets/Smellevation Maps team which addressed several of the eight domains of livability in a single app. The app would also include paths in Seattle that present the best smells, sounds, views, and hills. Users can rank how important each aspect is to improve the algorithms of the app. The winner of Best Accessibility Hack was GoInfo Game which gamified the collection of bus stop information that’s crucial for disabled riders. The Winner of Best Use of Open Data and and Best Data Visualization was SeaSidewalks which developed a visualization of data from SDOT’s recent Citywide sidewalk analysis. The team came up with a mechanism for prioritizing sidewalk issues based on factors like proximity to hospitals and other key facilities.
Thursday, February 16, 2017; 1 p.m.
Bertha Knight Landes Room City Hall
601 5th Ave, Seattle, WA 98104
Dreamscapes: A Collaboration of Nature, Man, and Machine
In conjunction with the temporary display of his large-scale artwork, Central Park Azalea Walk Dreamscape, in the lobby of City Hall, artist Daniel Ambrosi will present an artist talk, Dreamscapes: A Collaboration of Nature, Man, and Machine.
During the talk Ambrosi will explain his motivations and aspirations behind the artistic journey that led to his groundbreaking “Dreamscapes” computational photography project. He will share his thoughts on the powerful connection between visual perception, visceral experience, and cognition.
Ambrosi’s “Dreamscapes” employ digital cameras and a suite of graphics software to create immersive, vibrant, highly-detailed panoramic landscape images. He then transforms these giant panoramas using a custom-modified version of Google’s “DeepDream” artificial intelligence software to imbue his images with unexpected forms and content that is only revealed upon close-up viewing. Ambrosi will also discuss the broader implications and significance of collaborating with artificial intelligence in the creation of contemporary photographic art.
Central Park Azalea Walk Dreamscape by artist Daniel Ambrosi on view thru February 21, 2017 at City Hall
For the next three months, a new artwork will illuminate the lobby of City Hall outside – the Bertha Knight Landes room. The large-scale artwork, Central Park Azalea Walk Dreamscape by artist Daniel Ambrosi, is 12 x 8-feet and consist of 63 photographs printed on SEG tension fabric that were stitched together into one image. The artwork that gives the viewer the sensation of being able to enter the landscape.
The artist states: My “grand format” landscape images that result from computational photography are inspired by the 19th century master paintings of the Hudson River School and by the great romantic European landscape paintings that preceded them. Like those works, some of which reached 10 feet in width, I’ve endeavored to create uncannily immersive and idyllic scenic experiences that deliver both breadth and details. Thanks to custom modifications made to Google’s DeepDream software, it has become possible to imbue my giant landscape images with a stunning degree of wholly unexpected form and content that is only revealed upon close-up viewing. These “Dreamscapes” represent my attempt to remind myself (and others) that we are all actively participating in a shared waking dream, a dream that is on the precipice of considerable amplification by rapid advances in artificial intelligence and virtual reality.
About the artist:
Daniel Ambrosi is based in Half Moon Bay, California. Ambrosi has been exploring novel methods of visual presentation since graduating from Cornell University in 1984 with degrees in architecture and computer graphics. He is a Cornell National Scholar & Eschweiler Prize Recipient and began his career with NBBJ. Ambrosi’s latest work builds upon his previous experiments by adding a powerful new graphics tool to his artistic workflow; namely “DeepDream,” a technique evolved from Google engineers’ desire to visualize the inner workings of Deep Learning artificial intelligence models.
Central Park Azalea Walk Dreamscape Details:
ARTIST: Daniel Ambrosi
ENGINEERS: Joseph Smarr (Google) and Chris Lamb (NVIDIA)
- Number of Photos: 63 (7 wide x 3 high x 3 “deep”)
- Resolution: 20123 x 13462 pixels (270+ megapixels)
- Horizontal Field of View: ~240 degrees
- Vertical Field of View: ~90 degrees
- Medium: SEG Tension Fabric Structure (LED Perimeter Lighting)
- Dimensions: 144” wide x 96” high