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, ...

Every AI model depends on labeled data. Data annotation is the process of tagging images, text, audio, or video so that algorithms can learn from it. Without this step, machine learning systems can't ...

Each week since 1977, researchers at the Portal Project have monitored how rodents, ants and plants interact with each other and respond to their climate on plots of land in Arizona. At first, the ...