Efficient analysis of large data sets requires new mathematical techniques that reduce computational complexity, Bekas said. The algorithm combines models of data calibration and statistical ...

Extracting useful information from large data sets can be a daunting task. Topological methods for analysing data sets provide a powerful technique for extracting such information. Persistent ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...

The Washington Post considers what the Ada is and why he could not do the right analysis. - Clinton's data - driven campaign relied heavily on an algorithm named Ada. What did not she see?

One of the critical reasons behind AI algorithmic biases is the lack of access to data for target populations ... individuals' unique needs and characteristics. Algorithms also often simplify ...

As Gizmodo points out in its analysis ... Relying on some algorithms can work magic for some industries, but their impact can come at a real human cost. With bad data or the wrong parameters ...

A new algorithm ... ground my ML and data science problems in actual, concrete use cases of our collaborators," Wright said. "I learn from collaborators what parts of data analysis are important ...

An algorithm can only do what we train ... as hiding factors such as gender or ethnicity from the data can actually make the situation worse. According to Žliobaitė, removing characteristics that are ...