NODAR, a leader in ultra-wide-baseline stereo vision for autonomous systems and intelligent machines, today announced the ...

Discover how an AI text model generator with a unified API simplifies development. Learn to use ZenMux for smart API routing, ...

The DN6.63x instruments feature ultra-low-noise outputs generating signals from DC to 2.5 GHz. With 4 to 12 synchronized ...

This important study, which tackles the challenge of analyzing genome integrity and instability in unicellular pathogens by introducing a novel single-cell genomics approach, presents compelling ...

For software developers, choosing which technologies and skills to master next has never been more difficult. Experts offer ...

Use these seven prompt templates to generate sharper ChatGPT images in 2026, from hero sections and product shots to ...

Microsoft’s investigation into RedVDS services and infrastructure uncovered a global network of disparate cybercriminals ...

It was on a very silly project, but with even Linux's creator now using AI, the debate over code quality, maintainability, and developer skills is likely to intensify.

OpenAI is asking contractors to upload real work files to benchmark AI against human performance, raising new questions about ...

“Catapult” works because of its aw-shucks quality. Despite the sidebars into prickly themes, the book never strays far from ...

In a recent installment of the International Society of Automation’s “Ask the Automation Pros” series, Erik Cornelsen, ...

在AI智能体（AI Agent）的开发浪潮中，许多团队正面临一个共同的困境：“修复一个问题，却引发三个更隐蔽的Bug”。这种“按下葫芦浮起瓢”的现象，本质上是缺乏系统化评估体系导致的开发失控——团队像在迷雾中驾驶飞机，只能依靠“肉眼观察”和“事后补救”，无法预判风险，更难以自信地推进迭代。