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

Deift will describe some recent numerical experiments on the computation of the eigenvalues of a random symmetric matrix. Fix an eigenvalue algorithm and choose an ensemble for the matrices: it turns ...

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 ...

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

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 ...