The rise of artificial intelligence in recent years has been a non-stop gala for programmers, and one programming language—Python—has been the undeniable belle of the ball. Java and other languages ...

For decades, Java has been the enterprise world's go-to programming language—the reliable, if somewhat verbose, workhorse powering everything from banking systems to e-commerce platforms. But when the ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

Labeling and annotation are the foundation of context setting and the invisible backbone of AI, which are quietly shaping the world around us.

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, ...

Artificial intelligence systems are only as powerful as the data they are trained on. High-quality labeled datasets determine whether a model performs with precision or fails in production.

If you are searching for a way to easily and quickly build speech-to-text AI applications using Java. You might be interested in Assembly AI’s Java SDK offering an innovative tool for developers and ...