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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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A 31-year-old unsolved problem in mathematics, the KLS conjecture, has been proven: a fundamental breakthrough has been achieved in high-dimensional geometry and the theory of randomized algorithms.

On October 4, 2026, Zhang Xinzhi, a researcher at Microsoft Research, together with his collaborators, completed a rigorous proof of the Kannan–Lovász–Simonovits (KLS) conjecture, thereby resolving a long-standing central problem that had remained open since its formulation in 1995. This achievement establishes a dimension-independent constant bound for the “plane‑cut bottleneck” in high-dimensional log-concave distributions, providing an unconditional theoretical foundation for random sampling, convex optimization, and theoretical computer science.

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Google launches zero-trust, aggregated private analytics technology, integrating cryptography with a trusted execution environment.

Google’s research team has unveiled a new private analytics solution that leverages an innovative single-round lattice-based cryptographic aggregation protocol, working in tandem with a Trusted Execution Environment (TEE), to enable data aggregation without relying on any single trusted entity. This approach ensures that user data remains securely stored on the device while delivering group-level anonymized insights.

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