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drawing on canvas with trear physics tendrils using texones creative computing framework which is based on processing
Where's Wally? Don't worry, a new algorithm can now tell you exactly how to find him in the shortest time possible.
Developed by Randal Olson, doctoral student at Michigan State University in the US, the algorithm was created using data collected from all 68 of Martin Handford's Where's Wally? books, or Where's Waldo?, as they're called in the US and Canada
To do this, he inputted all his data on the location of Wally into a genetic algorithm (GA), which mimics natural selection to find the most efficient method of doing something by trialling something slightly different over and over again. This helped him to optimise the fastest route that someone's eye should take across the page to find Wally.
The algorithm also came up with a few helpful tips for all those Wally-watchers out there desperate to find him quickly.
The bottom of the left page is a good place to start. If Wally isn’t on the bottom half of the left page, then he’s probably not on the left page at all.
The upper quarter of the right page is the next best place to look. Wally seems to prefer to hide on the upper quarter of the right page.
Next check the bottom right half of the right page. Wally also has an aversion to the bottom left half of the right page. Don’t bother looking there until you’ve exhausted the other hot spots.
Olson is yet to test the algorithm-prescribed path in “This path represents one of the shortest possible paths to follow on the page to find Waldo, so if we followed this path exactly, we’d most likely find Waldo much faster than someone following a more basic technique,” Olson wrote.
Read more : http://www.sciencealert.com/a-computer-algorithm-can-now-solve-where-s-wally-faster-than-you-can
Symmetrically-reflected complex polynomial iteration with crafted seeds combining reflections of complex polynomial cross-products with just a hint of plasma cloud.
From a suite of 128 transforms of a concentric circle pattern, following a space-filling curve (Hilbert curve).
ALGO 2017 hosted by Algorithms and Complexity Group of TU Wien, 4-8 September. Official photography: Nadja Meister. The photos have been released under CC BY 4.0.
Combo of three "segmented" versions split apart by algorithm value. Following image "indexedSegMMImg4" is one of the three segments.
Do Algorithms Care? is a collaboration between artist Amanda Bennetts and data scientist Johanna Einsiedler. The project is realized in an installation that mimics a tech store, turning a critical lens on the commercialization of bio-data. Using the duo's open-source DIY smartwatches and interactive data interface, they explore the predictive potential of personal data and machine learning for well-being, inviting viewers to reconsider their relationship with data control and privacy.
Photo: flap