A machine-learning approach developed for sparse data reliably predicts fault slip in laboratory earthquakes and could be key to predicting fault slip and potentially earthquakes in the field. A ...

What can you do about data sparsity? What do you do when you have a matrix with a bunch of zeros in it, and you can't get a good look at a complex system because so many of the nodes are empty? Matrix ...

Combining the results of multiple small trials to increase accuracy and statistical power, a technique called meta-analysis has become well established and increasingly important in medical studies, ...

Disclaimer: This Working Paper should not be reported as representing the views of the IMF.The views expressed in this Working Paper are those of the author(s) and do not necessarily represent those ...

There is a lot going on in the world of big data today–at times, enough to make your head spin. But instead of trying to pry an advantage from every big data source, you might get better results by ...

An innovative approach to artificial intelligence (AI) enables reconstructing a broad field of data, such as overall ocean temperature, from a small number of field-deployable sensors using ...

While the world waited for He Jiankui to back up his claim of CRISPR’ing two babies to an international summit of genome editors in Hong Kong on Wednesday morning, STAT asked genomics experts to ...