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• MIT engineers build a battery-free, wireless underwater camera

The device could help scientists explore unknown regions of the ocean, track pollution, or monitor the effects of climate change.

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• Upcoming WWF Webinar Series: Artificial Intelligence and Conservation

The series will focus on how AI is being used to support conservation efforts. The series will discuss the past, present and future of how these technologies advance sustainability, with a focus on the future, and an eye on both the upsides and the risks of these technologies in a conservation context.

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• New conservation tech articles from Mongabay

Five articles that include conservation tech published at Mongabay

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• Identification of Wildlife in Camera Trap Images

<p>Camera trap wildlife surveys can generate vast amounts of imagery. A key problem in the wildlife ecology field is that vast amounts of time is spent reviewing this imagery to identify the species detected. Valuable resources are wasted, and the scale of studies is limited by this review process. The use of computer software capable of extracting false positives, automatically identifying animals detected and sorting imagery could greatly increase efficiency. AI has been demonstrated as an effective option for automatically identifying species from camera trap imagery. Currently available code bases are inaccessible to the majority of users; requiring high-performance computers, advanced software engineering skills and, often, high-bandwidth internet connections to access cloud services. The <em>ClassifyMe</em> software tool is designed to address this gap and provides users the opportunity to utilise state-of-the-art image recognition algorithms without the need for specialised computer programming skills. <em>ClassifyMe</em> is IDEAL for field researchers, allowing users to sweep through camera trap imagery using field computers instead of office-based workstations.</p>

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• Dear AI, We Have Trust Issues

This essay is the third in a series on the promise and challenges of using AI and machine learning to create a planetary environmental management system.  

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• Tech to Track: Harnessing thepotential of spatial data & digital technologies to prioritise nature and climate action

This SPACES paper aims to inspire the audience to use spatial intelligence as an enabler for integrated nature and climate action. It showcases ’emerging’ data sources and digital technology in the nature and climate space and their use in providing spatial intelligence to decision makers. Questions or insights you would want to share on this topic? Let us know via [email protected]