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OlmoEarth v1.3 Released: A High-Performance Open-Source Satellite Embedding Model for the Global Surface

The Allen Institute for AI has released OlmoEarth v1.3, offering planet-wide satellite embedding vectors at 10-meter resolution in both 64-dimensional and 128-dimensional formats, along with the interactive exploration tool Embeddings Explorer. It supports zero-code change detection, similar-region retrieval, and lightweight classification modeling.

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PyTorch 2.15 officially supports MPS: FP8, MoE acceleration, and a comprehensive upgrade to the Metal kernel.

PyTorch 2.15 brings a major MPS backend upgrade to Apple Silicon Macs, natively supporting FP8 tensor operations on macOS for the first time, boosting MoE model decoding speed by 5–6.5 times, reducing peak video VAE memory usage from 270 GiB to 8 GiB, and migrating numerous operators from MPSGraph to dedicated Metal kernels.

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