Abstract: This article proposes a novel hardware-efficient QR algorithm and its VLSI architecture to compute the eigenvalue decomposition (EVD) of symmetric matrices. By replacing the computationally ...

Artificial intelligence promises clear answers from complex data. Yet new research suggests there are limits that no amount ...

Professor Percy A. Deift from Courant Institute of Mathematical Sciences, NYU, presented the Myhill Lecture Series 2013-14. This 3-part lecture series was held in the Fall, and included a reception in ...

A new study introduces Centered Daydreaming, allowing Hopfield networks to achieve 100% capacity on highly biased real-world data.

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

Abstract: We consider the problem of deriving upper bounds on the parameters of sum-rank-metric codes, with focus on their dimension and block length. The sum-rank metric is a combination of the ...

Selection is a decision or question. At some point, a program may need to ask a question because it has reached a step where one or more options are available. Depending on the answer given, the ...

Introduction National essential medicines lists (NEMLs) guide medicine selection and procurement and are key tools for ...

Executive Summary: The USPTO’s new pre-order paper procedure gives patent owners a narrow but potentially consequential opportunity to challenge an ex parte reexamination request before the Office ...