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environmental_machine_learning [2017-08-14 12:11] theunkarelseenvironmental_machine_learning [2017-10-12 09:55] theunkarelse
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   * what does a 'synthetic worldview' mean for the understanding/appreciation of environmental complexity?   * what does a 'synthetic worldview' mean for the understanding/appreciation of environmental complexity?
   * how do strategies of environmental observation compare/relate (in AI, choreography, ecology, art, landscaping, traditional cultures,..)   * how do strategies of environmental observation compare/relate (in AI, choreography, ecology, art, landscaping, traditional cultures,..)
-  * thalience: how much of the human is present in the 'robotic eye'? 
   * who is the observer in these experiments? what kind of power-relations come out? (+symbiogenesis)   * who is the observer in these experiments? what kind of power-relations come out? (+symbiogenesis)
 +  * thalience: can environments be given their own voice?
  
 === blurb: === === blurb: ===
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   * **nov 2018** > critical reflection / writing, web or print >  //Fieldguide to Environmental Machine Learning//   * **nov 2018** > critical reflection / writing, web or print >  //Fieldguide to Environmental Machine Learning//
   * exhibition (Artis Zoo?)   * exhibition (Artis Zoo?)
 +  * //Plain Air Nouveau// EU program
  
 === reading: === === reading: ===
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   * [[https://animalbiotelemetry.biomedcentral.com/articles/10.1186/s40317-017-0123-1|Super machine learning: improving accuracy and reducing variance of behaviour classification from accelerometry]]   * [[https://animalbiotelemetry.biomedcentral.com/articles/10.1186/s40317-017-0123-1|Super machine learning: improving accuracy and reducing variance of behaviour classification from accelerometry]]
   * [[https://channel9.msdn.com/Events/Neural-Information-Processing-Systems-Conference/Neural-Information-Processing-Systems-Conference-NIPS-2016/Intelligent-Biosphere|Intelligent Biosphere]]   * [[https://channel9.msdn.com/Events/Neural-Information-Processing-Systems-Conference/Neural-Information-Processing-Systems-Conference-NIPS-2016/Intelligent-Biosphere|Intelligent Biosphere]]
 +  * [[https://www.wired.com/story/elon-forget-killer-robots-focus-on-the-real-ai-problems/|Forget Elon Musk, lets focus on real AI problems]]
   * [[https://www.nrc.nl/nieuws/2017/06/27/niet-waar-de-robots-bij-zijn-11294270-a1564606|Not In Front Of The Bots (dutch)]]   * [[https://www.nrc.nl/nieuws/2017/06/27/niet-waar-de-robots-bij-zijn-11294270-a1564606|Not In Front Of The Bots (dutch)]]
 +  * [[https://blogs.microsoft.com/on-the-issues/2017/07/12/announcing-ai-earth-microsofts-new-program-put-ai-work-future-planet/|Microsoft: AI for Earth]]
 +  * [[https://thenextweb.com/tq/2017/09/20/we-desperately-need-ethical-algorithms-heres-why/#.tnw_HMT7SwPK|We Desperately Need Ethical Algorithms, Here's Why]] (not that insightful, I just list it to document a quote)
 +  * [[https://www.propublica.org/series/machine-bias|Machine Bias]]
 +  * [[https://medium.com/@memoakten/retune-2016-part-2-algorithmic-decision-making-machine-bias-creativity-and-diversity-3c7cca21ba37|Memo Akten's Medium pages]]
 +  * [[https://www.quantamagazine.org/new-theory-cracks-open-the-black-box-of-deep-learning-20170921| Crack open the black box of deep learning]]
 +  * [[http://nautil.us/issue/52/the-hive/the-perils-of-letting-machines-into-the-hive-mind|The Perils of Letting Machines Into the Hive Mind]]
 +  * [[http://www.karineskoog.com/thehunter-call-of-the-wild-designing-believable-simulated-animal-ai/|AI & Designing Believable Simulated Animals]]
 +
 +=== Youtube Lectures: ===
 +  * introduction AI for Earth: [[https://youtu.be/vDC5T9Wvgeo|https://youtu.be/vDC5T9Wvgeo]]
 +  * [[https://norbertbiedrzycki.pl/en/artificial-brains-save-the-earth/|Artificial Brains Save The Earth]]
 +  * [[https://www.youtube.com/watch?v=i_uL_nCv2g4|Machine Learning in Ecological Science and Environmental Management, Thomas Dietterich]]
  
 === framing: === === framing: ===
  • environmental_machine_learning.txt
  • Last modified: 2020-07-03 10:44
  • by theunkarelse