The divergence of ASIC designs makes it difficult to run commonly used modern sequencing analysis pipelines due to software ...

Mount Sinai researchers studying a type of heart disease known as hypertrophic cardiomyopathy (HCM) have calibrated an artificial intelligence (AI) algorithm to quickly and more specifically identify ...

One notable missing feature in most ANN models is top-down feedback, i.e. projections from higher-order layers to lower-order layers in the network. Top-down feedback is ubiquitous in the brain, and ...

In this chapter, we will present the data stream mining components. The problem of concept drift in classification algorithms and several existing state‐of‐the‐art handling methods are highlighted.

This challenge has motivated many graph classification algorithms ... data in computer science. Each record in DBLP is associated with a number of attributes such as abstract, authors, year, venue, ...

This article reviews the current state of decentralized data collection and outlines key steps for wisely selecting a ...

More information: Soochan Lee et al, Data-Driven Search Algorithm for Discovery of Synthesizable Zeolitic Imidazolate Frameworks, JACS Au (2025). DOI: 10.1021/jacsau.5c00077 ...

UAB IT worked closely with information security officials from UAB Health System to develop the three level data classification system for all data. This system establishes roles and responsibilities ...