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AI

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  • CompanyMachine Learning

    Lauren Frederick

    Jason Gilman

    Sustainable AI: Reduce Your Carbon Footprint, Cut Costs, and Keep Your Users Happy

    Our team at Element 84 is excited about AI’s potential to help in building systems, understanding the impacts of climate change, and generally helping users access data. At the same time, we’re also concerned with the environmental impact of using this technology. Hugging Face sums up the issue well in their AI Environment Primer: Artificial…

  • CompanyMachine Learning

    Lauren Frederick

    Jason Gilman

    Sustainable AI: Reduce Your Carbon Footprint, Cut Costs, and Keep Your Users Happy

    Our team at Element 84 is excited about AI’s potential to help in building systems, understanding the impacts of climate change, and generally helping users access data. At the same time, we’re also concerned with the environmental impact of using this technology. Hugging Face sums up the issue well in their AI Environment Primer: Artificial…

  • Machine Learning

    Adeel Hassan

    Segmenting Sandstorms in Satellite Imagery

    In this blog, we walk through our approach to segmenting sandstorms in satellite imagery, evaluate the quality of our results, and compare them against existing solutions.

  • GeospatialMachine Learning

    Sara Mack

    Emerging trends in geospatial: May 2024

    In this post, we highlight a few of the trends in geospatial our team noticed at SatSummit, and we’re outlining how we plan to integrate these trends into our work.

  • Machine LearningGeospatial

    Jason Gilman

    Natural Language Geocoding

    We discuss how natural language geocoding is changing the landscape of data analysis, making it more accessible and efficient.

    Partial screenshot of the world map, the Natural Language Geocoding query selected is "Show me algal blooms within 2 miles of Cape Cod" and the portion of Massachusetts is appropriately outlined in a blue line. There is an image of the algal blooms tiled next to the map.
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