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?
An Mn3Sn homo-junction enables efficient field-free full switching of chiral antiferromagnets with greatly reduced power consumption, advancing their potential for energy-efficient magnetic memory devices with advantages of ultradense integration and ultrafast speed.，详情可参考同城约会
「正确的事」在会议上听起来很好，在图表上看起来完美。。关于这个话题，爱思助手下载最新版本提供了深入分析
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