Researchers at the University of Tokyo and their collaborators have developed a digital laboratory system that fully automates the material synthesis and the structural and physical property ...

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.

Visitors can interact with newly unveiled robots that will be deployed across the centre's galleries. Read more at ...

The Louisiana Tech University College of Engineering and Science (COES) has officially introduced its newest and most ...

Now, researchers at the Viterbi School of Engineering say that they have created a potential solution: a four-legged, ...

Robotic surgery has dramatically improved surgical precision, but it could also help surgeons treat people on the other side of the world. A surgeon in Florida has now used a robot to remove a ...

With their ability to shapeshift and manipulate delicate objects, soft robots could work as medical implants, deliver drugs ...

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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 ...

The digital laboratory (dLab) system fully automates the material synthesis and structural, physical property evaluation of thin-film samples. (Nanowerk News) Researchers at the University of Tokyo ...