Mathematicians studied the flow of human crowds and developed a way to predict when pedestrian paths will transition from orderly to entangled. Their findings may help inform the design of public spaces that promote safe and efficient thoroughfares. 

In the first study to consider the long-term evolution of the rivers that flow beneath glaciers, researchers have new insights into the future of Antarctica’s melting ice that may change the way climate scientists predict the effects of a warming planet.

Researchers from the University of Waterloo’s Faculty of Environment led the project that studied Aurora Subglacial Basin and modelled its subglacial hydrology —the flow of water at the base of the ice. They compared drainage systems at various times ranging from 34 million years ago to 75 years from now.

In a paper published in National Science Review, a research team from Institute of Automation, Chinese Academy of Sciences and Nanjing University present an overview of the historical developments in Generative Artificial Intelligence (Generative AI). They grouped the developments of Generative AI into four categories: 1) rule-based generative systems, 2) model-based generative algorithms, 3) deep generative methodologies, and 4) foundation models. They also described potential research directions aimed at better utilizing, understanding, and harnessing Generative AI technologies.

In a paper published in Research, a team of scientists present a new circuit design to display quantum two-player games. Compared with the classical algorithms to solve two-player game, the algorithm for the two-player games is dependent on continuous-time quantum walk, and exhibits quantum advantage. Besides, such design of quantum two-player games has been realized on the circuit networks according to the analogy between the wave function of the Schrödinger equation and the voltage in Kirchhoff's law.