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Discover our articles that showcase ideas, opinions and perspectives—of different players, experts and stakeholders from every ecosystem—on the greatest advances in research and innovation.

Machine learning to combat ocean plastic pollution

● The detection of ocean plastic pollution remains very dependent on tedious site surveys and visual identification of images, both of which require extensive time and human resources.
● Since the late 2010s, academic research has tested artificial intelligence and computer vision approaches that make use of deep-learning algorithms to address this problem.
● Although increased automation may pave the way for more frequent detection over wider areas, emerging solutions will still have to contend with constraints in the field and a lack of algorithm training data.
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Data-driven recycling: AI sorts through the waste

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Morfo accelerates reforestation with AI and drones

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School Learning and AI: Personalized Lessons and Real-time Corrections

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Recognizing Internet Access as a Human Right: An Interview With Merten Reglitz

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Green and Local Energy Exchanges and Optimizing Network Consumption

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AI contributes to species conservation with TrapTagger

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