ADELPHI, Md.-- Army researchers discovered a way to quickly get information to Soldiers in combat using new machine learning techniques. The algorithms will play a significant role in enhancing ...

For example, if you want to automatically detect atrial fibrillation, a common type of irregular heart rhythm, you need to tell the machine-learning algorithm what atrial fibrillation looks like.

For instance, “principal component analysis” (PCA), a popular dimensionality reduction algorithm, has found many useful applications to simplify machine learning problems.

These PRDs are (1) effective algorithms and tools that can be trusted by scientists for accuracy and efficiency, (2) progressive reduction algorithms that enable data to be prioritized for efficient ...

The Multifactor Dimensionality Reduction (MDR) technique is one of the most popular nonparametric algorithms developed by Ritchie et al. 4, 5 and it has been widely applied to many real data sets ...

The biggest-ever study of real people’s mortgage data shows that predictive tools used to approve or reject loans are less accurate for minorities. We already knew that biased data and biased ...

At more and more companies, the hiring boss is an algorithm, as jobs that were once filled on the basis of work history and interviews are left to personality tests and data analysis.

A study published Thursday in Science has found that a health care risk-prediction algorithm, a major example of tools used on more than 200 million people ... It’s available in many data sets, ...

Vast Data, which supplies high-capacity file storage based on QLC flash and fast cache, has upgraded its software to version 4.4, in a move that will boost usable capacity by 25%, while also ...