When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Andres Almiray, a serial open-source ...

Oracle uses JavaOne 2026 to launch JDK 26 and argue that Java can stay relevant in the AI era by building on its traditional strengths in performance, language evolution, and enterprise stability.

When we talk about artificial intelligence, most people immediately think of futuristic robots and self-driving cars. But here’s the truth I’ve learned over years of working with data and leading ...