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?
基于这一转变，DIC预测混合现实和虚拟现实头戴式设备的出货量预计将在2025年下降42.8%，而XR市场的其他部分将增长211.2%。但随着新设备的推出，MR/VR头戴式设备预计将在2026年反弹，尽管它们的吸引力将主要局限于游戏玩家和专注于设计、培训和协作的企业。与此同时，预计从2025年到2029年，XR眼镜的复合年增长率将达到29.3%。
包括近几年，绿联在产品质量上也有点两极分化。。Line官方版本下载对此有专业解读
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