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#AI research
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  1. The Decoder

    Google researchers find a way to keep self-improving AI agents from memorizing their tests

    Self-improving AI agents tend to memorize their test tasks, so their gains shrink or disappear on new ones. RRSI, a new method from Google researchers, reins in this effect and lifts scores on unseen benchmarks by up to 4.7 points while using about 30 percent fewer tokens than an unregularized version. The article Google researchers find a way to keep self-improving AI agents from memorizing their tests appeared first on The Decoder .

  2. The Decoder

    NASA and IBM's open source lunar model turns 17 years of orbiter data into a foundation for lunar science

    NASA and IBM have released the Lunar Foundation Model, one of the first open-source AI models for lunar science. Trained on nearly 2 million tile bundles, mostly from 17 years of Lunar Reconnaissance Orbiter data, it cuts the error in predicting polar ice deposits. The article NASA and IBM's open source lunar model turns 17 years of orbiter data into a foundation for lunar science appeared first on The Decoder .

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