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

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As a data scientist, I’ve been frustrated that there haven’t been any impactful new Python data science tools released in the past few years other than polars. Unsurprisingly, research into AI and LLMs has subsumed traditional DS research, where developments such as text embeddings have had extremely valuable gains for typical data science natural language processing tasks. The traditional machine learning algorithms are still valuable, but no one has invented Gradient Boosted Decision Trees 2: Electric Boogaloo. Additionally, as a data scientist in San Francisco I am legally required to use a MacBook, but there haven’t been data science utilities that actually use the GPU in an Apple Silicon MacBook as they don’t support its Metal API; data science tooling is exclusively in CUDA for NVIDIA GPUs. What if agents could now port these algorithms to a) run on Rust with Python bindings for its speed benefits and b) run on GPUs without complex dependencies?,详情可参考夫子

Some of the later generations of Pokémon (well, later by the standards of someone who started playing in the 90s) introduced a bunch of little freaks who are more or less just mundane, inanimate objects with faces. These are some of my favorite Pokémon because it feels like whoever designed them was just glancing around the room, looking for anything they could anthropomorphize.。业内人士推荐快连下载-Letsvpn下载作为进阶阅读

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