The PoLARIS Project aims to combine robots and AI with science to help automate experiments. One project leader answers how ...

Roberto Martin-Martin is an Assistant Professor of Computer Science at UT Austin. His research bridges robotics, computer ...

Anthropic PBC unveiled the Model Hardware Standard to enable AI assistants like Claude to safely operate robotics and ...

The US National Science Foundation has awarded $20 million to PoLARIS, an AI-powered robotic laboratory built by the ...

Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

Researchers have developed a digital laboratory (dLab) system that fully automates the material synthesis and structural, physical property evaluation of thin-film samples. With dLab, the team can ...

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Experiments involving real and simulated robots suggest that the relationship between physical movement and sensory input could be crucial to developing more intelligent machines. Tests involving two ...

Curious robots learn language in half the time, and their unplanned play and grammar mistakes hint at how children master words.

China’s Robot Olympics show how humanoid robots have evolved from college experiments into advanced machines competing in sports and real world tasks.