A newly proposed checklist outlines six objectives to strive for in the development of machine-learning algorithms ... characteristics 3. Precise: able to take full advantage of data collected ...

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 ...

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 ...

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?

An introduction to the analysis and implementation of algorithms and data structures including linear data structures, trees, graphs, hash tables, searching algorithms, sorting algorithms, ...