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environmental_machine_learning [2017-08-14 11:01] – theunkarelseenvironmental_machine_learning [2017-09-23 09:12] – 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: ===
 +Complex machines have been part of our environment for many centuries. Pioneers like al Jazari already made programmable automata around 1200AD. Machines came to dominate the land, sea and air dramatically since the Industrial Revolution. Until very recently the ability to relate to the environment was limited to plants and animals, but now machines are starting to blur those lines. What does it mean if machines join animals and plants there on more equal levels of awareness? Environmental Machine Learning is a program of fieldwork sessions with experiments as vehicles for materialising questions.
 +
 +=== context: ===
 +All mayor tech companies have made AI their top priority in a race to file patent applications. These are not just reaching into the depths of human society, but permeate into the remotest mangroves, deserts or reefs. Some first experiments with machine learning have been undertaken by ecologists. EML aims for a fundamental exploration of environmental literacy and how this could be made accessible to / obtained by an AI.
  
  
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 === program: (under construction)=== === program: (under construction)===
-  * EML Meetup series at MidWest Experimental Station, dec 2017 / nov 2018 //theme: Synthetic Environmental Literacy// +  * **dec 2017 / nov 2018** > EML Meetup series at MidWest Experimental Station Amsterdam > //theme: Synthetic Environmental Literacy// 
-  * fieldwork session Finland, may 2018 //theme: Rules of Engagement: Machine and Animal interactions// / 4 ppl / 10 days  +  * **may 2018** > fieldwork session Finland > //theme: Rules of Engagement: Machine and Animal interactions// >  4 ppl / 10 days  
-  * fieldwork session Terschelling, sep 2018 //theme: Random Forests: Environmental observation and perception into algorithm// / 10 ppl / 2 or 3 days +  * **sep 2018** > fieldwork session Terschelling > //theme: Random Forests: Environmental observation and perception into algorithm// >  10 ppl / 2 or 3 days 
-  * 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]]
 +
 +=== 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