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 ...

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 ...

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 ...

As AI demand outpaces the availability of high-quality training data, synthetic data offers a path forward. We unpack how synthetic datasets help teams overcome data scarcity to build production-ready ...

In a paper in the Journal of Diabetes Science and Technology, researchers at Stevens Institute of Technology offer a new approach: a data-sparse model capable of accurately predicting individual ...

Organizations are awash in data, but struggle with a host of challenges to actually use, organize and analyze that data. According to one estimate, companies will store 100 zettabytes of data in the ...

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 ...

Business-to-business content is ripe with the potential to connect to readers’ values and drive impactful change within industries and communities. And there’s arguably no single more important aspect ...

Most people are familiar with data in the form of a spreadsheet, with labeled columns of different data types such as name, address, age, and so on. Databases work the same way, with each table laid ...