Study shows lower risk for multiple myeloma as well as pancreatic, prostate, breast and kidney cancers
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?
。服务器推荐对此有专业解读
在故乡县城,你还是能找到许多过去的影子。那是“中式梦核”遗留在时代缝隙里的影子:破旧的房子很多年没有修,没办法在大城市出现的电动三轮成为县城独特的出行工具,小摊的烟火气在无序中自有章法……
安全治理是数据价值释放的重要保障
Что думаешь? Оцени!