According to mission co-lead Scott Glenn, the experiment marks a “historic moment for ocean science. We’re deploying a robot ...

To build the experimental stations of the future, scientists at the National Synchrotron Light Source II (NSLS-II), a U.S. Department of Energy (DOE) Office of Science user facility at DOE's ...

Materials science experiments can be time-consuming and expensive ... CRESt's robotic equipment includes a liquid-handling robot, a carbothermal shock system to rapidly synthesize materials, an ...

The Research Centre in Robotics and Underwater Technologies (CIRTESU) at the Universitat Jaume I conducted this week, at the ...

HydroSpread, a breakthrough fabrication method, lets scientists build ultrathin soft robots directly on water. These tiny, ...

Elementary students in the Kirkwood School District become scientists, engineers and mathematicians when they step into the ...

It's well understood that spiders have poor eyesight and thus sense the vibrations in their webs whenever prey (like a fly) gets caught; the web serves as an extension of their sensory system. But ...

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 ...

Robots like 'Courtney' and 'Esther', conspicuous for their blinking LED "eyes" and compact, cooler-like frames, have quietly settled into the daily rhythms of Atlanta's Midtown neighborhoods.

Now, as a student in Northwestern Engineering's Master of Science in Robotics (MSR) program, Patil developed an open-source software package that filled what he saw as a gap in the robotics community.

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.