Stochastic dynamical systems arise in many scientific fields, such as asset prices in financial markets, neural activity in ...

A child prodigy born in Australia, Tao, 50, is now at the top of his field at the University of California at Los Angeles, working in the rarefied realms of partial differential equations or harmonic ...

Tipping points in our climate predictions are both wildly dramatic and wildly uncertain. Can mathematicians make them useful?

He Tao Shenzhen-Hong Kong Science and Technology Innovation Cooperation Zone (Photo by Xinhua News Agency reporter Liang Xu) On the 9th, the He Tao Institute of Mathematics and ...

From Stable Diffusion to DiT and the FLUX series, the community has explored many technical methods to accelerate generation speed and improve generation quality. However, development has always ...

Discover Clear Channel Outdoor's 2025 growth strategy—digitization, AI, and U.S. focus—driving revenue, innovation, and deleveraging.

Alexandra Twin has 15+ years of experience as an editor and writer, covering financial news for public and private companies. Robert Kelly is managing director of XTS Energy LLC, and has more than ...

Timothy Li is a consultant, accountant, and finance manager with an MBA from USC and over 15 years of corporate finance experience. Timothy has helped provide CEOs and CFOs with deep-dive analytics, ...

py-pde is a Python package for solving partial differential equations (PDEs). The package provides classes for grids on which scalar and tensor fields can be defined. The associated differential ...

Abstract: Scientific computations with a wide range of applications in domains such as developing vaccines, forecasting the weather, predicting natural disasters, simulating aerodynamics of spacecraft ...

Abstract: In the recent decade, multidimensional or tenso-rial time series have drawn increasing attention for their rich spatial and temporal information. In data collection, missing tensorial time ...

This repo is the Pytorch implementation of our manuscript titled AirPhyNet: Physics-Guided Neural Networks for Air Quality Prediction. In this study, we present a novel physics guided differential ...