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 ...

The effort could supply data that finally gives pedestrian infrastructure the funding it deserves. New York City is a city of ...

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...

Humanoid robots are often marketed as the next leap in automation—machines that can walk, talk, grasp objects, and think independently.