Data clustering remains an essential component of unsupervised learning, enabling the exploration and interpretation of complex datasets. The field has witnessed considerable advancements that address ...

Artificial intelligence can be a beautiful thing for business, with a lot of promise. But this promise has yet to deliver tangible results. Many AI projects fail in various stages of experimentation ...

At its core, Artificial Intelligence (AI) is the product of two components –the first is data and the second is algorithms. Diverse types of algorithms exist, each potentially displaying a level of ...

shinyOPTIK, a User-Friendly R Shiny Application for Visualizing Cancer Risk Factors and Mortality Across the University of Kansas Cancer Center Catchment Area We trained and validated two-phase ML ...

As data analysis becomes a bigger focus in the medtech industry, protecting approach methodology is supplanting patent ...

Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, ...

In an era where technology continues to evolve at a staggering pace, the integration of algorithms into healthcare decisions holds ...

Public skin image datasets that are used to train algorithms to detect skin problems don’t include enough information about skin tone, according to a new analysis. And within the datasets where skin ...