As companies move to more AI code writing, humans may not have the necessary skills to validate and debug the AI-written code if their skill formation was inhibited by using AI in the first place, ...

Engineering teams can’t afford to treat AI as a hands-off solution; instead, they must learn how to balance experimentation ...

Sign of the times: An AI agent autonomously wrote and published a personalized attack article against an open-source software ...

From Russian GRU operations to Chinese espionage campaigns, AI is transforming cyber warfare. But that change is a bit more ...

Many teams are approaching agentic AI with a mixture of interest and unease. Senior leaders see clear potential for efficiency and scale. Builders see an opportunity to remove friction from repetitive ...

AI automation, now as simple as point, click, drag, and drop Hands On For all the buzz surrounding them, AI agents are simply ...

How modern infostealers target macOS systems, leverage Python‑based stealers, and abuse trusted platforms and utilities to ...

Spotify executives say AI coding tools have reached a turning point, with top developers no longer writing code by hand as ...

Google’s ATLAS study reveals how languages help each other in AI training, offering scaling laws and pairing insights for better multilingual models.

An AI agent got nasty after its pull request got rejected. Can open-source development survive autonomous bot contributors?

Nearly two-thirds of Java users surveyed rely on Java for developing AI applications, with JavaML, Deep Java Library, and OpenCL being the most-used libraries.