Using an algorithm they call the Krakencoder, researchers at Weill Cornell Medicine are a step closer to unraveling how the ...

Ultimately, the new approach works because of how it encodes information. Classical computers use bits, which can take one of ...

Midsized CPA firms can leverage algorithms for operational excellence across multiple service lines and functions.

Last year, I spoke to the first two Pulitzer winners to disclose using AI in their work ... developed a custom image-recognition algorithm. He fed land titles and land registers the team had already ...

a hierarchical auxiliary model based least squares iterative algorithm is derived, to improve the computation efficiency and the parameter estimation accuracy by using the auxiliary model ...

Abstract: In this paper we present new algorithms for non-negative matrix approximation (NMA), commonly known as the NMF problem. Our methods improve upon the ... Our algorithms are based on a ...

Through bibliometric analysis using CiteSpace software—examining annual publication volumes, authors, and keywords in literature related to machine learning applications in emergency contexts—it is ...

These biases and gaps can lead to inaccurate identifications. To address these issues, we introduce MultiStageSearch, a multistep database search method that combines proteome and genome databases for ...