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

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, ...

Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...

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

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.

The company open-sourced an 8 billion parameter LLM, Steerling-8B, trained with a new architecture designed to make its ...

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

Amid the Trump administration's immigration crackdown, some residents call for change.

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 ...

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

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

DRDO aims to enhance India's defence capabilities through AI, focusing on unified operations, data standardization, and strategic autonomy.