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environmental_machine_learning [2017-08-14 12:03] theunkarelseenvironmental_machine_learning [2017-08-14 12:08] theunkarelse
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 === context: === === context: ===
-All mayor tech companies have made AI their top priority in a race to file patent applications. Some first experiments with machine learning have been undertaken by ecologists, but there AI is mainly seen as a way to address heterogeneity issues in data ranging from genetic data, to climate models, or species abundance. EML aims for a more fundamental exploration of environmental literacy and how this could be made accessible to / obtained by an AI.+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//+  * EML Meetup series at MidWest Experimental Station Amsterdam, dec 2017 / nov 2018 //theme: Synthetic Environmental Literacy//
   * fieldwork session Finland, may 2018 //theme: Rules of Engagement: Machine and Animal interactions// / 4 ppl / 10 days    * fieldwork session Finland, may 2018 //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   * fieldwork session Terschelling, sep 2018 //theme: Random Forests: Environmental observation and perception into algorithm// / 10 ppl / 2 or 3 days
  • environmental_machine_learning.txt
  • Last modified: 2020-07-03 10:44
  • by theunkarelse