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 ...

Scientists at the U.S. Department of Energy's (DOE) Brookhaven National Laboratory have developed a novel artificial ...

Video: This intriguing theory from a master of conceptual science might end up being crucial to new AI advances. Get ready for a lot of math…! We have sort of an intuitive understanding of a big need ...

Suppose you have a thousand-page book, but each page has only a single line of text. You’re supposed to extract the information contained in the book using a scanner, only this particular scanner ...

Compared with traditional matched filtering (MF) based methods, sparse synthetic aperture radar (SAR) imaging could obtain high-quality images of sparse surveillance regions from down-sampled echo ...

A ground-breaking approach using "small data" machine learning could revolutionize mental healthcare by predicting individual crises before they escalate. Published in Med Research, the study ...

Finding accurate market information on securities that seldom trade or only trade in small batches is a tricky proposition and makes it challenging to find answers to the following types of questions: ...