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 ...

In their warped and wrongheaded way, the omnipresent influencer Clavicular and his looksmaxxing compatriots are intent on demystifying the ideal of natural beauty.

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.

Those that solve artificially simplified problems where quantum advantage is meaningless. Those that provide no genuine quantum advantage when all costs are properly accounted for. This critique is ...

Oracle-based quantum algorithms cannot use deep loops because quantum states exist only as mathematical amplitudes in Hilbert space with no physical substrate. Criticall ...

Globally, subtle hydrocarbon reservoirs in petroliferous basins have always been challenging targets for exploration research, with thin sand body reservoir prediction being a key focus in this field.

Reservoir computing is a promising machine learning-based approach for the analysis of data that changes over time, such as weather patterns, recorded speech or stock market trends. Classical ...

You can set up the environment using the environment.yml (the requirement is the same as [DDRM]: https://github.com/bahjat-kawar/ddrm). Run conda env create -f ...

Abstract: Conventional three-dimensional (3D) inversion algorithms for the transient electromagnetic method (TEM) require time-domain discretization in both forward and adjoint modeling. These ...