说到底，这个道理其实很简单：创新不再局限于某一种编程语言。模型训练的阵地依然在 Python，但模型推理的归属，只取决于哪个环境能提供稳定、可扩展、可观测的系统——而 Java，正是这样的理想环境。

Here’s the uncomfortable truth about Python in the enterprise: The language is easy; the ecosystem is not. Most developers can write readable Python by week two. What derails them—and therefore your ...

Developer tooling provider Anaconda Inc. today announced that it has closed a Series C funding round worth more than $150 million. Insight Partners led the investment with participation from Mubadala ...

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What’s the best way to bring your AI agent ideas to life: a sleek, no-code platform or the raw power of a programming language? It’s a question that sparks debate among developers, entrepreneurs, and ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

A new MIT study reveals a sobering truth: 95% of corporate AI pilots are failing – potentially wasting billions in AI investment. Only a rare 5% are said to be succeeding with rapid sales growth. What ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

Forbes contributors publish independent expert analyses and insights. C M Rubin covers AI, education, and innovation globally. Andover, MA - December 2: The Kebbi robot sits in a speech pathology ...