Improved capabilities of the TurboGAP code for radiation induced cascade simulations: An illustration with silicon

· · 来源:ai资讯

■推动“十五五”时期经济社会发展,必须全面贯彻习近平新时代中国特色社会主义思想,深入贯彻党的二十大和二十届历次全会精神,认真落实四中全会部署,围绕全面建成社会主义现代化强国、实现第二个百年奋斗目标,以中国式现代化全面推进中华民族伟大复兴,统筹推进“五位一体”总体布局,协调推进“四个全面”战略布局,统筹国内国际两个大局,完整准确全面贯彻新发展理念,加快构建新发展格局,坚持稳中求进工作总基调,坚持以经济建设为中心,以推动高质量发展为主题,以改革创新为根本动力,以满足人民日益增长的美好生活需要为根本目的,以全面从严治党为根本保障,推动经济实现质的有效提升和量的合理增长,推动人的全面发展、全体人民共同富裕迈出坚实步伐,确保基本实现社会主义现代化取得决定性进展

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.,推荐阅读safew官方版本下载获取更多信息

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Sam Altman

习近平总书记强调,坚持统筹发展和安全,坚持发展和安全并重,实现高质量发展和高水平安全的良性互动。要始终坚持总书记关于统筹发展和安全的重要论述,把握数据安全与数据价值释放的关系,二者并非简单的成本与收益对立,而是相辅相成、有机统一的整体。