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.

Theory showing the monotone behaviour of the likelihood and convergence of the algorithm is derived. Many examples are sketched, including missing value situations, applications to grouped, censored ...

Go read this data analysis that uncovers predictive policing’s flawed algorithm. A co-reported investigation with Gizmodo and The Markup into PredPol ...

It’s hard to measure water from a fire hose while it’s hitting you in the face. In a sense, that’s the challenge of analyzing streaming data, which comes at us in a torrent and never lets up ...