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 ...

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 ...

Good Morning, Tech Fam! Here’s your quick dose of today’s biggest tech headlines. What’s New Today: Moore Threads challenges Nvidia with next-gen AI chips, the ...

See how Langraph powers a multi-agent stock sim with configurable rounds and models, helping you compare trade plans without ...

Python''s popularity is surging. In 2025, it achieved a record 26.14% TIOBE index rating, the highest any language has ever ...

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.