Abstract: This work proposes a physics-guided unified deep learning architecture for single image restoration targeting dehazing, deraining, and low-light enhancement. The architecture first estimates ...

Ramanujan’s elegant formulas for calculating pi, developed more than a century ago, have unexpectedly resurfaced at the heart of modern physics. Researchers at IISc discovered that the same ...

For over 150 years, a rule of thumb dating back to the French mathematician Pierre Ossian Bonnet has been accepted in surface ...

Adiabatic quantum computing An example problem represented by an energy landscape. Each point on the landscape represents a candidate solution. The deepest valley represents the actual solution with ...

The editorial board is a group of opinion journalists whose views are informed by expertise, research, debate and certain longstanding values. It is separate from the newsroom. Thirteen years ago, no ...

Illustrating physics problems with Web VPython in Python. Learn how to build clear 3D visualizations for motion and forces, and bring physics concepts to life with interactive animations and simple ...

Affiliate Marissa Gerchick (ACLU) and coauthors released a report demonstrating the utility of computational tools to analyze legislative trends. Their report culminated in two recommendations: (1) ...

A new synthesis of seismic research shows that artificial intelligence, when combined with physical principles, is rapidly transforming how scientists image the Earth’s shallow and crustal structures.

Based on these challenges, there is a growing need to develop deeply integrated physics- and data-guided AI frameworks for computational mechanics. Researchers from Queensland University of Technology ...