To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...

Physicists have discovered a surprising new “Island of Inversion” in a place no one expected: among nuclei where the number ...

Abstract: Inverse synthetic aperture radar (ISAR) is extensively used in space situational awareness, with its imaging resolution improving as signal bandwidth increases. However, high-order migration ...

This research advances hybrid soft-rigid robot simulations, achieving up to 1000 times faster computations through analytical derivatives in the GVS framework.

In Mathematics, there are no shortcuts to understanding, but there are definitely smarter paths to scoring well.

Abstract: In recent years, deep-learning-based methods have been introduced for solving inverse scattering problems (ISPs), but most of them heavily rely on large training datasets and suffer from ...

A lot of making goes on in this community these days, but sometimes you’ve just gotta do some old fashioned hacking. You might have grabbed an old Speak and Spell that you want to repurpose ...