Sample-efficient active learning for materials informatics using integrated posterior variance

· · 来源:hotel资讯

icon-to-image#As someone who primarily works in Python, what first caught my attention about Rust is the PyO3 crate: a crate that allows accessing Rust code through Python with all the speed and memory benefits that entails while the Python end-user is none-the-wiser. My first exposure to pyo3 was the fast tokenizers in Hugging Face tokenizers, but many popular Python libraries now also use this pattern for speed, including orjson, pydantic, and my favorite polars. If agentic LLMs could now write both performant Rust code and leverage the pyo3 bridge, that would be extremely useful for myself.

Either way, the delay slots do useful work: they compute the descriptor address and start reading it from memory. By the time the PLA verdict arrives, the hardware is already prepared for whichever path is selected. No cycles are wasted.

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At the OpenAI all-hands, staff were told that the most challenging aspect of the deal for leadership was concern over foreign surveillance, and that there was a major worry about AI-driven surveillance threatening democracy, according to the source. However, company leaders also seemed to acknowledge the reality that governments will spy on adversaries internationally, recognizing claims that national security officers “can’t do their jobs” without international surveillance capabilities. References were made to threat intelligence reports showing that China was already using AI models to target dissidents overseas.

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