Data governance frameworks were built for a world where humans created most data, but AI has changed that equation.

The landscape for video training data and multimodal foundation models in 2026 is defined by a shift from quantity to highly ...

Why it matters: Accurate labeling sets the ceiling for AI performance, and even advanced algorithms fail without high-quality annotated data. How it’s done: Annotation covers text, images, audio, and ...

Molecular pathology has entered a transformative era under the influence of artificial intelligence (AI). The intersection of digital pathology, molecular ...

High-quality data labeling underpins every successful AI model. Combining human oversight, automation, and synthetic data can cut costs while improving precision. With strong workflows and the right ...

As generative AI and large language models (LLMs) rapidly reshape the research landscape, psychological scientists are seeking guidance on how to responsibly integrate these tools into their work. The ...