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?
近日，微软研究院团队公布了一项面向超长期数据归档的玻璃基存储技术「Silica」，并在发表于《自然》的论文中展示了完整的写入、读取与解码系统。。Line官方版本下载对此有专业解读
Жители, находящиеся в момент опасности на улице, должны зайти в ближайшие здания или подземные переходы.，详情可参考51吃瓜
Together they grew the business, which provides analysis and services for company boards, and today it employs 200 staff and has big big name clients, including Nationwide, Rolls-Royce and Reckitt.