Spring Authorization Server now lives inside Spring Security 7 under the same Maven coordinates, so the upgrade is a version bump. This server-side guide covers enabling DPoP and RFC 8693 Token...

作者开发了第十四个Omarchy插件“Omarchy Side Panel”，旨在解决默认任务栏在多显示器上的不佳表现，优化多显示器任务栏体验，并以GPL 3.0许可证开源发布。

This is the Engineering Culture Trends Report for 2026. Featuring a panel of QCon speakers and InfoQ contributors, they discussed AI adoption maturity and risk, the transformation of engineering...

The engineering team at Zalando recently described the design and implementation of an in-process, client-side load balancer for a high-throughput API handling around 1 million requests per...

GitHub redesigned GitHub Issues navigation using a client-side architecture that combines caching, predictive prefetching, and service workers to reduce perceived latency. The approach uses...

Much of what we do on the web involves looking at more than one thing at a time – booking tickets while checking your calendar, taking notes as you go through a report, or comparing options before...

Culture, organization, and talent risks often arise when assets are carved out. Here’s how people leaders can address them.

CFOs can tackle “dis-synergies” and stranded costs, among other complexities, with flexible models and well-structured transitional service agreements.

Everyone’s talking about artificial general intelligence (AGI) — but does anyone actually know what it is? In this gripping episode of Invisible Machines, journalist Karen Hao joins hosts Robb...

本研究探讨了数字双胞胎在水资源预测中的脆弱性，揭示其易受对抗攻击。提出了一种新方法，通过动态调整扰动来增强攻击隐蔽性，实验结果显示该方法显著提高了预测误差，强调了人工智能驱动的数字双胞胎在网络安全方面的风险与防御需求。

本研究提出ExOSITO方法，旨在解决重症监护室患者实验室检查过度订购的问题。该方法结合离线政策学习与临床信息，优化检查订单，降低成本，同时确保不遗漏必要检查，优于传统医生政策。

本研究提出了一种系统框架，利用大语言模型从社交媒体提取药物副作用信息，并构建知识图谱。通过分析塞马鲁肽不同品牌的副作用，提供了重要的患者中心见解。

本研究探讨了大语言模型在微调攻击下的安全漏洞，特别是Chain of Thought（CoT）推理模型DeepSeek的表现。研究表明，微调可能操控模型输出，增加产生有害内容的风险，强调了CoT模型在安全性和伦理部署中的重要性。

本研究探讨了大型语言模型（LLM）在缺乏标签反馈时的自我修正机制，发现其输出不稳定且存在认知偏差。提出了两种策略以改善模型表现。

本文探讨了大型语言模型（LLMs）在与人类价值观对齐时的安全脆弱性，特别是对权威信息的偏见可能导致有害内容的生成。研究提出了一种新攻击方法DarkCite，利用权威引用提高越狱攻击的成功率，并提出有效的防御策略以降低风险。