Networks are a powerful tool in the modeling of complex systems, which are composed of a large number of parts interacting with each other, with ...

Researchers from Science Tokyo have contributed to an international collaboration that recently published a perspective ...

Researchers from University College London have developed a new AI-based brain signal decoding model that could improve how people with types of motor neurone diseases like amyotrophic lateral ...

A research team led by Prof. Wang Xianlong and Dr. Wang Pei from the Hefei Institutes of Physical Science of the Chinese ...

As the world passes 1.5 degrees C of warming, a Cambridge scholar argues that putting a deadline on climate action was the ...

A research team from the University of Science and Technology of China has demonstrated the ability to electrically ...

The scale invariance in branch diameter dictates how much smaller a limb should be as it branches and how much investment a ...

Studio Science has made history in two ways as both the first company to launch a website on Optimizely's new software-as-a-service (SaaS) CMS platform and as the first Optimizely partner to implement ...

Let’s talk about data. Just the facts. These data are information gathered by satellites, instruments on the ground (thermometers, wind speed gauges, etc.), lasers and the many other ways humans use ...

Department of Chemical Engineering and Technology, College of Materials Science and Engineering, Beijing University of Technology, Beijing 100124, P. R. China ...

We propose a supervised data-driven method to predict S-wave velocity using a graph convolutional network with a bidirectional ... The IMFs represent features from the local oscillation frequency with ...

In their new study, the team presents their method, GCBF+, which stands for "Graph Control Barrier Function ... partly supported by the U.S. National Science Foundation, MIT Lincoln Laboratory ...