AI in software engineering— a loose, vibes-based approach has given way to a systematic approach to managing how AI systems ...

With software engineers adopting AI faster than other industries, some workers say they've experienced reduced everyday ...

Traditional testing methods, while reliable, often require months or years to validate seal performance under real-world ...

Implementing agentic software engineering requires more than connecting an AI model to your repositories—it starts by ...

Some of the models used to forecast everything from financial trends to animal populations in an ecosystem are incorrect, ...

Before a car rolls off the production line, manufacturers run virtual tests on it. Simulating tires is particularly ...

Coding with large language models (LLMs) holds huge promise, but it also exposes some long-standing flaws in software: code ...

Organizations that treat AI adoption as both a technical evolution and a cultural transformation see the most lasting impact.

Cisco researchers probed some of the most widely used public GenAI LLMs and found many of them were dangerously susceptible ...

Reliable fault diagnostics in gearboxes is of great importance to industries to improve production quality and reduce maintenance costs. In this paper, an improved evolving fuzzy (iEF) technique is ...