Machine Learning
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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…
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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…
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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.
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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.
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Natural Language Geocoding
We discuss how natural language geocoding is changing the landscape of data analysis, making it more accessible and efficient.
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Using Generative AI in AWS for the Federal Government
In this blog, we detail how to get started with Generative AI in your existing Federal Government cloud accounts.
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Building a queryable Earth with vision-language foundation models
We take a close look at two such remarkable VLMs that have come out in the past few months and, using these models, we build a prototype “queryable Earth” functionality that allows retrieving images along with their geolocations using text queries over a large geographical area.
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Running ROCm 5.4.2, ONNX, and PyTorch on a SteamDeck
In this blog post, we’ll guide you through setting up ROCm 5.4.2, ONNX, and PyTorch on a SteamDeck.
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Streamlining search-and-rescue operations using machine learning on the edge
In this blog, we discuss various improvements that we have made to the proposed workflow first discussed in our previous blog post focused on edge processing of drone imagery for search-and-rescue.
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Exploring unsupervised change detection with Sentinel-2 vector embeddings
In this blog post, we explore the application of a foundation model pre-trained on Sentinel-2 imagery, to the downstream task of change detection.
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Introducing Raster Vision v0.21
In this post we highlight the major changes rolled out in the latest update of Raster Vision, our open-source ML library.
