A new topology-based method predicts atomic charges in metal-organic frameworks from bond connectivity alone, making large-scale computational screening practical.
Two researchers advocate for new AI-based measures not because they offer measurement free from error, but rather because they avoid specific problematic forms of error linked to overreliance on ...
A research team has successfully implemented a programmable spinor lattice on a photonic integrated circuit (PIC). This platform enables the realization of non-Abelian physics, in which the outcome of ...
Sparse matrix-matrix multiplication (SpMM) is a crucial kernel in various applications, including sparse deep neural networks [1]–[6], graph analytics [7], triangle counting [8], and linear algebra ...
Mohanty and a multi-institution team demonstrated a fast, explicit approach to constructing lossless vertex expansion networks.
Abstract: Downlink precoding in massive multiple input multiple output (MIMO) systems involves high-dimensional sparse matrix calculations, which poses challenges to existing architectures.
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