How to make AI truly scalable and reliable for real-time traffic assignment? A research team from KTH Royal Institute of ...

Abstract: Evidential Deep Learning (EDL) is an emerging method for uncertainty estimation that provides reliable predictive uncertainty in a single forward pass, attracting significant attention.

Abstract: Fitting overdispersed count data accurately and efficiently is instrumental for statistical modeling. Failing to capture the overdispersed nature of data ...

kwx is a toolkit for multilingual keyword extraction based on Google's BERT, Latent Dirichlet Allocation and Term Frequency Inverse Document Frequency. The package provides a suite of methods to ...

ExWave is a high performance solver based on spatial discretization with the discontinous Galerkin method and temporal discretization with explicit time integration by means of Runge-Kutta or ...

Primes are integers greater than 1 with only two divisors. They are the fundamental building blocks of math and the backbone of modern cryptography.

A new research paper was published in Volume 17, Issue 11 of Aging-US on November 25, 2025, titled "A natural language ...

An eGFR below 60 ml/min indicates possible kidney disease. High creatinine levels in the blood can suggest the kidneys are not working well. A urine albumin result higher than 30 mg/gram may be a sign ...

Neurons are cells that transmit electrical signals through the nervous system. Motor neurons control muscle activity and movement by carrying impulses from the brain and spinal cord. Sensory neurons ...

One of the commonly used approaches in psychology is latent Dirichlet allocation (LDA), which is used for rapidly synthesizing patterns of text within “big data,” but outputs can be sensitive to ...