当地时间本月27日下午，玻利维亚空军一架C-130 “大力神” 军用运输机在首都拉巴斯附近的埃尔阿尔托国际机场降落时冲出跑道，撞上机场外繁忙公路上的至少15辆汽车，最终坠毁在田野中。
For an instant camera, image quality is also better than most of the other cameras I tested, producing relatively true-to-life photos. Most struggle to capture low-light conditions well, and this one is no exception, but the built-in flash helps. Fujifilm claims the Mini 12 optimizes image quality in both bright and dark environments better than its predecessor, but I didn’t notice much of a difference. The flash — which you can’t disable — is also still overpowering in some instances, resulting in a few overexposed images. Photos actually seemed a little darker and less vivid than before, but selfies captured my features and skin tone more accurately, thanks in part to the small front-facing mirror. The updated lens design also lets you twist into Close-Up Mode to zoom slightly and activate the Parallax Correction features for a more aligned photo. It’s a fun, point-and-shoot-style feature, though aligning photos still takes some practice (as well as some composition guidance from the manual).
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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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The tests used in standards for evaluating smoke alarms were developed back in the 1980s. However, despite changes in building materials since then, smoke alarms remain reliable, says Chagger: "They still respond to all the main fires we get today."
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