Scientists sometimes compare predicting the course of epidemics to forecasting the weather. But there's a major difference—the impact of human behavior—says Alessandro Vespignani, director of ...

The ability to analyze gene expression at the single-cell level—known as single-cell RNA sequencing (scRNA-seq)—has ...

In this TechRepublic exclusive, a COO states that successful AI initiatives must have the right unstructured data at the ...

Bright Data beat Elon Musk's X and Meta in court, then launched $100M AI infrastructure suite with Deep Lookup and Browser.ai to challenge Big Tech data monopolies.

INNOptimizer is using latest Bayesian Optimization algorithms and a broad set of analytical tools to guide optimizations with ...

Healthcare delivery is being transformed by the rapid growth of data, advancements in artificial intelligence (AI) and other ...

Stock movement prediction has been a challenging and relevant task for both conventional machine learning and deep learning methods. Multiple approaches have been developed in the literature with the ...

Furthermore, nearly 90 percent of office-based physicians now use EHRs, making a wealth of patient data more readily ...

Objectives To compare two Bayesian models capable of identifying unusual and unstable temporal patterns in spatiotemporal data. Setting Annual counts of mammography screening users from each ...

The maze of oil rigs, pipelines, cables and other offshore installations are vulnerable to submarine landslides. The ability ...

Statistical decision theory and Bayesian analysis by Berger, James O Publication date 1993 Topics Statistical decision, Bayesian statistical decision theory Publisher New York : Springer-Verlag ...

A British-flagged luxury superyacht that sank off Sicily last year, killing U.K. tech magnate Mike Lynch and six others, was lifted from the water Saturday as salvage recovery crews completed the ...