Penn Engineers have developed a new way to use AI to solve inverse partial differential equations (PDEs), a particularly ...

A new publication from Opto-Electronic Advances discusses high performance integrated photonic-circuit-based on inverse design method. With the explosive growth of information and data, photonic ...

Researchers invert a classical approach to modeling food webs. Instead of trying to replicate stable, complex ecosystems using simplistic representations of species interactions, the authors' novel ...

Researchers at the University of Pennsylvania have introduced 'Mollifier Layers,' an AI-based mathematical approach to solve inverse partial differential equations more reliably and with less ...

(A) Left: The sharp image (ground truth) and the motion blur kernel used. Right: The noise-corrupted input images and the deblurred outputs. (B) Projection of the data onto the 2D space formed by the ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using the Newton iteration algorithm. Compared to other algorithms, Newton ...

Kernel ridge regression (KRR) is a regression technique for predicting a single numeric value and can deliver high accuracy for complex, non-linear data. KRR combines a kernel function (most commonly ...