The six characteristics of ideal healthcare algorithms To maximize benefits to patients, algorithms should be explainable, dynamic, precise, autonomous, fair and reproducible Peer-Reviewed Publication ...

Here, the authors propose a quantum machine learning algorithm that provides an exponential speed up over known algorithms for topological data analysis. Nature Communications ...

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 ...

It can involve engaging with communities, organizations and advocacy groups to have their perspectives and experiences in the data used for training algorithms. 2. Ethical data sourcing.

Gizmodo released an analysis that reveals the behind the scenes method about its investigation, co-reported with The Markup, into PredPol’s crime prediction software. Their investigation ...

A number of public opinion figures and data including public and private things were given to the Ada algorithm. Based on these data, the Ada algorithm issued 400,000 simulations per day on "how ...

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