Results 1 - 5 of 5.
Environment - Architecture - 10.08.2020
Fragmented forests: Tree cover, urban sprawl both increased in Southeast Michigan over the past 30 years
Share on: Share on Twitter Share on Facebook Share on LinkedIn The extent of Southeast Michigan's tree canopy and its urban sprawl both increased between 1985 and 2015, according to a new University of Michigan study that used aerial photos and satellite images to map individual buildings and small patches of street trees.
Architecture - Social Sciences - 27.05.2020
GAM.16: Designs of uncommon living
By Ute Wiedner The current issue of the Graz Architecture Magazine (GAM) gathers together new collaborative living concepts under the title "gewohnt: un/common" and presents them for discussion as "rehearsal stages" for affordable living. Rising rents and the constantly growing struggle for living space show that the housing market in Europe, with its stereotypical floor plan typologies, is no longer able to react flexibly to changing requirements and the worsening social situation.
Architecture - 20.05.2020
How organic architecture can shape dense, diverse cityscapes
In a new book, researchers from EPFL examine the history of organic architecture, complete with telling examples of the genre, from its emergence in the early 20th century to the present day.
Architecture - Health - 04.05.2020
Epidiemology and urban planning: the views of Sascha Roesler on the NZZ
What is the relationship between epidiemology and urban planning? Sascha Roesler, assistant professor at the USI Academy of Achitecture (Institute for the History and Theory of Art and Architecture, ISA), explores the subject in a recently published article in the Neue Zürcher Zeitung and with a short video, showing how these two concepts have a common history and future.
Computer Science - Architecture - 23.04.2020
Reducing the carbon footprint of artificial intelligence
Artificial intelligence has become a focus of certain ethical concerns, but it also has some major sustainability issues. Last June, researchers at the University of Massachusetts at Amherst released a startling report estimating that the amount of power required for training and searching a certain neural network architecture involves the emissions of roughly 626,000 pounds of carbon dioxide.