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?
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fills up, so we can eventually append most new tasks to the slice
作为行业创新的引领者，宇树科技近期推出了全球首个人形机器人专属APP Store，首次将“应用生态”模式引入机器人领域，推动行业从单纯的硬件比拼转向“硬件+软件+生态”的综合竞争。此外，宇树携手京东开设的全球首家线下品牌店已在北京开业，标志着机器人零售正迈向线下零距离体验的新阶段。