本文讨论了Milvus 2.6.x版本向量检索引擎中通过多级归并树实现高效搜索的方法，重点介绍了查询路径、Query Delegator的作用及一致性模型对搜索延迟的影响，并强调了分布式搜索的复杂性和一致性管理的重要性。

AI’s next breakthrough may not be a smarter model but a cheaper token.

Block, Inc. describes migrating ~450 JVM repositories into a monorepo across Cash App and Square engineering to reduce dependency drift and coordination overhead. The system supports ~8,800 weekly...

Lyft details a new pickup experience to improve reliability in gated communities, where 25–30% of rides face routing and access challenges. The system uses mapping signals, boundary detection, and...

In fan-out microservice architectures, slow-but-completing requests accumulate across services and drive p99 latency far higher than per-service metrics suggest. This article presents an adaptive...

OpenAI introduces a WebSocket-based execution mode for its Responses API to improve agentic workflow performance in coding agents and real-time AI systems. The update reduces latency by up to 40...

Dropbox reduced its backend monorepo from 87GB to 20GB by optimizing Git delta compression in collaboration with GitHub. The changes improved clone times, CI performance, and developer velocity,...

AI poses major challenges for green IT: each query consumes vast energy, GPU chips last only 2-3 years, and costs stay hidden from users. Regulatory frameworks like the EU AI Act fall short on...

In today’s fast-paced financial environment, ensuring that core systems are secure, high-performing, and cost-effective is essential for maintaining a competitive edge. For Insignia Financial,...

本研究提出了Baguan模型，通过战略预训练减少天气预测中的过拟合问题。该模型基于自我监督的Siamese自编码器，实验结果表明其在中期天气预测中优于传统方法。

本研究提出了ParaPO后训练方法，旨在减少语言模型在非敌对环境中对预训练数据的逐字复制问题。该方法通过优化模型偏好改写版本，显著降低了无意复制现象，同时保持了模型的整体效用。

Jorma Rauhala, president and CEO of Kesko Corporation, reveals the success factors of Kesko’s data and AI journey.

本研究探讨了在工程教育中整合AI工具（如ChatGPT和GitHub Copilot）以提高设计和制造效率。通过这些工具，学生能够快速原型化复杂项目，提升成果复杂性并增强决策支持。