The open-source VIPR framework standardizes machine-learning inference for ill-posed inverse problems in reflectometry and ...

Researchers have developed an importance-sampling-based black box variational inference algorithm that reuses earlier ...

This Primer examines Skilling’s nested sampling algorithm for Bayesian inference and, more broadly, multidimensional integration. The principles of nested sampling are summarize ...

Solving life's great mysteries often requires detective work, using observed outcomes to determine their cause. For instance, nuclear physicists at the U.S. Department of Energy's Thomas Jefferson ...

Computer-generated holography (CGH) provides an approach to digitally modulate a given wavefront. This technology, partly inherited from optical holography and partly advanced by the progress of ...

A mathematical challenge humanity has tackled for years. Its answer will change the world —We usually live our lives as if the visible world is everything.However, in reality, there may be far more ...

Penn Engineers have developed a new way to use AI to solve inverse partial differential equations (PDEs), a particularly challenging class of mathematical problems with broad implications for ...