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 ...

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 ...

An overview of the ProChunkFormer framework for trajectory reconstruction from sparse and noisy GPS data. The model employs a two-stage decoding process: a skeleton trajectory MM-Semi is first ...

While major microcontroller (MCU) suppliers like Infineon, Renesas, and STMicroelectronics have been incorporating artificial intelligence (AI) capabilities into their chips to facilitate applications ...

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 ...

A new study published in the journal Minerals sheds light on this sweeping shift. Titled Big Data and AI in Geoscience: From ...

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 ...