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 ...

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 ...

Integrating AI with advanced robotics to create self-driving labs (SDL) is a promising approach to tackling molecular discovery. A new SDL system, called LUMI-lab, combines large-scale molecular ...

Understanding the connection between behavior and brain cell activity is a major goal of neuroscience. To make progress, neuroscientists often choose simple, transparent lab animals because it's ...

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