在人工智能技术飞速发展的今天，从智能客服到工业质检，从医疗影像分析到金融风险预测，AI的应用场景不断拓展，其赋能千行百业的潜力有目共睹。然而，当我们深入观察AI技术的实际落地过程，会发现一个令人困惑的现象：尽管AI技术在实验室和demo中展现出强大的能力，但在企业级场景中大规模应用时，却往往面临“最后一公里”的难题。

Zed was designed from the ground up for machine-native speed and collaboration. Let’s take a look at the newest IDE and text ...

Google and OpenAI just launched their newest AI models. I compared Gemini 3 and ChatGPT-5.1 across 9 challenging tests— and ...

On a lot of DataFrame objects, the index will typically be an ascending list of numbers. If I have something with dates, I ...

There’s a place in Northern California where the mountains don’t just frame the horizon—they embrace the entire town like protective giants standing guard against the rush of modern life. Welcome to ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are ...

Dave Gray has put together a pretty solid free Python video tutorial that clocks in at around 9 hours. It came out in 2023, ...

Modular’s Python-like language for low-level programming has evolved, and it’s now available to end users. Let’s take Mojo ...

ATLANTA, Nov. 11, 2025 /PRNewswire/ -- ketteQ, the provider of the world's most adaptive supply chain planning solutions, ...