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The release is an AI model for satellite imagery, and the more practical news is that Ai2 paired it with a browser tool that needs no sign-in, which lowers the compute and storage barriers that previously limited users to fine-tuning and large GPU resources. Ai2 also reports that v1.3 cost 53% of v1.2's training compute and 50% of its carbon emissions, though these are company-supplied figures. Readers should look for independent benchmarks before judging the "state-of-the-art" claim.
Ai2 releases OlmoEarth v1.3 state-of-the-art AI-ready satellite embeddings for the whole planet
Ai2, the Allen Institute for Artificial Intelligence, today released a satellite map embedding model called OlmoEarth v1.3 and precomputed annual embeddings for the whole planet at various resolutions with a browser-based map-making tool. The model compresses a year of satellite observations into a numerical fingerprint for each 10-by-10-meter patch of ground at the smallest resolution, […] The post Ai2 releases OlmoEarth v1.3 state-of-the-art AI-ready satellite embeddings for the whole planet appeared first on SiliconANGLE.
Ai2 releases OlmoEarth v1.3 state-of-the-art AI-ready satellite embeddings for the whole planet Ai2, the Allen Institute for Artificial Intelligence, today released a satellite map embedding model called OlmoEarth v1.3 and precomputed annual embeddings for the whole planet at various resolutions with a browser-based map-making tool. The model compresses a year of satellite observations into a numerical fingerprint for each 10-by-10-meter patch of ground at the smallest resolution, with 64-square-meter and…
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