Abstract: The reconstruction of sparse signals from a limited set of measurements poses a significant challenge as it necessitates a solution to an underdetermined system of linear equations.

Abstract: Motivated by the application of environment monitoring, this article studies a novel algorithmic framework for solving, in a parallelized manner, the problem of multisensor active ...

Generative AI and Recurrent Networks run on Q.ANT's Second-Generation Photonic Processor Complexity Model Graph Climbing the ...

Three shifters, one ordinary automatic, and a 1980s idea so strange it makes Porsche's fake-gear Taycan feel almost ...

Thank you, operator. Good morning, and welcome to the Acuity Fiscal 2026 Third Quarter Earnings Call. On the call with me this morning are Neil Ashe, our Chairman, President and Chief Executive ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

However, for the second position, they found that hydrophobicity plays a role; we obtained a polar residue in our predicted pattern. We could not find systematic sequential residue type analysis for ...

TCW Concentrated Large Cap Growth Fund generated a net return of -11.75% during Q1, underperforming the Russell 1000 Growth ...

The project automatically fetches the latest papers from arXiv based on keywords. The subheadings in the README file represent the search keywords. Only the most recent articles for each keyword are ...

AIMED allows microscopes to image multiple depth layers simultaneously, producing detailed 3D reconstructions with reduced ...

Lysosomal membrane integrity is essential for cell survival, but how damage sensing is spatiotemporally coupled to repair remains poorly understood. Recruitment and assembly of endosomal sorting ...