Dozens of polls were released in the lead up to Maine’s June primary election, and more are starting to come out as races ...

Combining artificial intelligence with physical climate modelling enables more accurate characterization of rare weather ...

Abstract: With the rapid development of semiconductor technology, conventional modeling based on physical equations encounters challenges related to accuracy and development time. The study proposes a ...

Decades ago, Paul Erdős used randomness to illuminate the vast and weird world of networks. Now mathematicians are making his ...

Abstract: In recent years, physics-informed neural networks (PINNs) have developed significantly as a deep learning technology. In analogy to the selection of grid cells in traditional numerical ...