The UN climate panel’s own assessment puts the likely warming from a doubling of carbon dioxide somewhere between 2.5 and 4 ...

Abstract: The classical inverse scattering methods have been developed to reformulate the Lippmann-Schwinger integral equation (LS-IE) for mitigating the nonlinearity, such as the new integral ...

Abstract: Physics-driven neural solvers can reconstruct strongly nonlinear inverse scattering scenes without supervised training, but their per-instance optimization over pixel-wise unknowns is ...

This software package implements the CISOR reconstruction algorithm along with other benchmark algorithms that attempt to recover the distribution of refractive indices of an object in a multiple ...

MENA’s youth audience is not invisible; it is well documented, highly engaged, and increasingly influential as a spending ...

One neuroscientist says our nutrient-poor diets are contributing to ‘accelerated ageing’, but changing what we eat can also ...

We propose a new method called Decoupled Annealing Posterior Sampling (DAPS) that relies on a novel noise annealing process to solve posterior sampling with diffusion prior. Specifically, we decouple ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

A deep reinforcement learning framework optimizes silicon-based photonic crystal fiber modulators, achieving ultra-low ...

Clarkson University researchers have developed an artificial intelligence tool that can uncover the mathematical equations ...

Objective To investigate the association between attention-deficit/hyperactivity disorder (ADHD) and cardiometabolic risk profile at the time of type 2 diabetes (T2D) diagnosis and examine ...