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

As President Trump delivered his State of the Union address, reporters from across NPR's newsroom, are fact checking his ...

The automatic detection of surface-level irregularities—defects or anomalies—in 3D data is of significant interest for various real-world purposes, such as industrial quality inspection, ...

Google is officially announcing a trio of new desktop Chrome productivity features today: Split View, PDF annotation, ...

After more than a year of his chaotic second term, President Donald Trump got a prime time chance to convince Americans the state of the union is strong. CNN annotated Trump’s speech with context and ...

Subramaniam Vincent is director of journalism and media ethics at the Markkula Center for Applied Ethics at Santa Clara University. Views are his own. At the core of storytelling for news is sourcing ...

AI algorithms have demonstrated a sensitivity of approximately 91% in detecting early dental caries, compared to 84% for ...

Three new neural network-based tools enable fast, accurate alignment and annotation of images even in very wiggly subjects.

But Alphaville is sceptical that the “multi-boutique” model actually works, and would bet that eventually the Schroders name ...

BrainAlignNet, AutoCellLabeler, and CellDiscoveryNet—to automatically track and identify neurons in moving worms and jellyfish.

In many organizations, projects begin with excitement and end with a sense of frustration. Teams go through rounds of feedback, each stakeholder signs off on the work, and yet the final product feels ...