Россиянин сумел доказать свою невиновность после обвинений бывшей жены в педофилии

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Photograph: Henri Robbins

Nyvang says Stilfold is working with Swedish automotive firms Volvo and Scania, to see if they can come up with new, lightweight parts for cars and trucks.

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加强联动配合提升穿透力。深化巡视巡察上下联动,加强对省区市巡视工作指导督导,指导各地推进对村巡察。做实做细中央单位内部巡视分类指导,分板块研究制定规范化指引。加强巡视与纪检监察监督贯通联动,健全力量统筹、资源整合、成果共享的有效机制。

While a Pico board doesn’t have the same architecture that allows FM transmission on regular Pi boards, it has a unique feature: PIO. This allows running programs based on a minimal instruction set independent of the CPU at the system clock rate. A simple program (“turn the pin ON, turn the pin OFF”) can then produce a square wave at half the system clock rate. Pico boards could be overclocked at ~200 MHz, allowing a similar carrier frequency, but the exact frequency cannot be controlled by software in any practical way. This rules out clean FM.

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Many people reading this will call bullshit on the performance improvement metrics, and honestly, fair. I too thought the agents would stumble in hilarious ways trying, but they did not. To demonstrate that I am not bullshitting, I also decided to release a more simple Rust-with-Python-bindings project today: nndex, an in-memory vector “store” that is designed to retrieve the exact nearest neighbors as fast as possible (and has fast approximate NN too), and is now available open-sourced on GitHub. This leverages the dot product which is one of the simplest matrix ops and is therefore heavily optimized by existing libraries such as Python’s numpy…and yet after a few optimization passes, it tied numpy even though numpy leverages BLAS libraries for maximum mathematical performance. Naturally, I instructed Opus to also add support for BLAS with more optimization passes and it now is 1-5x numpy’s speed in the single-query case and much faster with batch prediction. 3 It’s so fast that even though I also added GPU support for testing, it’s mostly ineffective below 100k rows due to the GPU dispatch overhead being greater than the actual retrieval speed.

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