阿布扎比综合交通中心(ITC)周四宣布,在有驾驶员监督条件下,该局已监督特斯拉完成了其最新无人驾驶技术在当地的道路测试。特斯拉在阿布扎比的测试项目致力于在批准的监管框架内推进出行方式革新,为阿联酋建立一个先进驾驶辅助及自动驾驶技术的测试模型,同时寻求在安全要求与鼓励采用现代创新之间保持谨慎平衡。(财联社)
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多模态数据管理:构建统一湖仓数据资产
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Board Intelligence,详情可参考51吃瓜
But that’s unironically a good idea so I decided to try and do it anyways. With the use of agents, I am now developing rustlearn (extreme placeholder name), a Rust crate that implements not only the fast implementations of the standard machine learning algorithms such as logistic regression and k-means clustering, but also includes the fast implementations of the algorithms above: the same three step pipeline I describe above still works even with the more simple algorithms to beat scikit-learn’s implementations. This crate can therefore receive Python bindings and even expand to the Web/JavaScript and beyond. This also gives me the oppertunity to add quality-of-life features to resolve grievances I’ve had to work around as a data scientist, such as model serialization and native integration with pandas/polars DataFrames. I hope this use case is considered to be more practical and complex than making a ball physics terminal app.