A computational framework for tracking grain boundaries in 3D image data: Quantifying boundary curvatures and velocities in polycrystalline materials

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Step 3: Verify none of those keys are public.

Owain Evans’ idea of feeding a historical LLM non-anachronistic images is, I think, well worth doing. But it’s also worth expanding on further. Would it be helpful, when training a historical LLM, to simulate dream imagery based on premodern themes? What about audio of birdcalls, which were far more prominent in the audioscapes of premodern people? What about taking it on a walk through the woods?

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Evidence alone won’t save biodiversity: the golden apple snail reveals an implementation gap

Москвичи пожаловались на зловонную квартиру-свалку с телами животных и тараканами18:04

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