SANTA CLARA, CA - November 17, 2025 - - As businesses generate, process, and analyze data at accelerating rates, the ability ...

The Phi-4 model was trained on just 1.4 million carefully chosen prompt-response pairs. Instead of brute force, the Microsoft ...

Decision stagnation persists because organizational cultures reward caution over courage. The executive who delays a major ...

LongBow and RYSE 3D Ltd reveal the innovative LongBow Speedster, featuring fully 3D printed exterior panels like never before ...

Master Cursor AI 2.0 with a step-by-step iOS app tutorial, model comparisons, and Supabase setup for auth, data, and real-time edge functions ...

Chatbots automate conversation; agentic AI automates contribution, reshaping workflows, governance, and the human-machine ...

Discover Google SIMA 2, trained in Gemini 3 to learn, plan, and adapt across worlds, with self improvement and real potential ...

Though rare disease diagnosis is a particularly hard challenge for AI (as it is for humans), popular language models ChatGPT ...

Nearly four generations now share the workplace, yet the wisdom that should flow between them is drying up. The real crisis ...

One reason this dispute has struck a nerve is that it speaks to a bigger, simmering tension across the industry. Generative ...

Industrial automation is entering a new era with physical AI, where machine learning meets real-world motion control.

这篇综述将这个新领域定义为“智能体强化学习”（Agentic RL），一个将LLM从“被动生成器”转变为“自主决策者”的全新范式。本文将继昨天的《LLM为什么能替你操作电脑？4个关键技术让AI拥有"操作系统级"能力｜Agent和工作流的区别就在这》为您深度剖析这份奠基性的综述，揭示 Agentic RL 是如何系统性地构建规划、工具使用、记忆和反思等核心智能的。