OpenChoreo, the open-source internal developer platform built on Kubernetes, has shipped its 1.0 release and been accepted into the Cloud Native Computing Foundation (CNCF) Sandbox. The project is...

In this podcast, Michael Stiefel spoke to Matthew Liste about building and managing software platforms. Platform services act as the basis for application development, and must always be stable,...

The world of online transactions has developed dramatically, but few industries navigate payment processing challenges fairly like grownup leisure platforms. Escort web sites face distinctive...

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Experian’s chief strategy and investment officer, Michael Meltz, talks about the company’s growth and innovation journey and how it is embracing gen AI and new technologies to develop new products...

As AI moves from single-shot prompts to persistent, autonomous behavior, a new class of infrastructure is emerging: agentic runtimes. These are not apps or platforms in the traditional...

Choosing a DevSecOps platform is one of the biggest technology decisions enterprises make. That's why we are thrilled to be named a Leader in The Forrester Wave™: DevOps Platforms, Q2 2025,...

本研究提出了CognitionNet，一个双阶段深度神经网络，旨在自动化发现在线技能游戏平台中玩家的心理和游戏策略。该方法有效揭示了玩家的决策过程，显著提高了参与预测的准确性，具有重要应用价值。

本研究针对短视频平台的版权侵权问题，提出了一种结合音乐源分离和视频音乐检索技术的创新方法，能够有效分离背景音乐并恢复原始音轨。实验结果表明，该方法高效去除背景音乐，为用户生成内容的版权合规提供了可行的解决方案。

Meta计划推出基于Llama模型的AI聊天应用，目标是到年底用户增至10亿，并通过付费订阅服务增加收入。预计2025年第二季度发布，扎克伯格强调AI助手的变革潜力。

本研究提出TAPAS框架，旨在优化云数据中心大型语言模型推理中的热管理和功耗控制，通过历史数据优化GPU虚拟机配置，提高系统效率，降低总拥有成本。

本研究探讨了用户生成内容平台上AI生成标题的价值，实地实验表明，AI生成的标题显著提升了内容消费，尤其在创作者与AI合作时，强调了人机协作的重要性。

本研究探讨了生成性人工智能在企业应用开发中的云服务需求，提出高性能计算、无服务器架构和边缘计算等新方法，并强调数据管理与安全隐私的重要性。

本研究探讨了将先进模仿学习算法迁移到经济适用的嵌入式平台的挑战，提出了一种高效的模型压缩方法和异步并行方法TEDA，成功在边缘设备上完成多种操控任务，提升了模仿学习模型的应用潜力。