Researchers at Seoul National University and Kyung Hee University report a framework to control collective motions, such as ring, clumps, mill, flock, by training a physics-informed AI to learn the ...

In January I wrote a piece titled “ 5 Physics Equations Everyone Should Know .” Lots of you weighed in with your own ...

The Atacama Large Millimeter/submillimeter Array (ALMA) has captured the motion of spirals of dust around a young star and shown that the winding motion of the spiral pattern is conducive to planet ...

Physics is a natural science that, compared to others, is less popular among the general population, both adults & children. However, awareness of the presence of physics in every corner of our ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Schematic of an exciton surfing the moiré potential arising from a semiconductor material known as a transition metal dichalcogenide. Credit: Antonio Rossi A hidden quantum wave may keep particles ...

Abstract: Efficient and reliable motion planning is essential for robots in transportation systems. Learning-based motion planners, especially those leveraging graph neural networks (GNNs), have ...

The game of chess has long been central to computer science and AI-related research, most notably in IBM's Deep Blue in the 1990s and, more recently, AlphaZero. But the game is about more than ...

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Graph Neural Network (GNN)–based motion planning has emerged as a promising approach in robotic systems for its efficiency in pathfinding and navigation tasks. This approach leverages GNNs to learn ...