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 ...

If you eat a snack—a meatball, say, or a marshmallow—how will it affect your blood sugar? It's a surprisingly tricky question; the body's glycemic response to different foods varies based on ...

Arkansas is on track to see construction of three proposed data center projects in the next year valued at a combined $12 billion. Plans for the huge centers, which are not yet set in stone, come as ...

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 ...

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 ...

Researchers at Shanghai University have developed a physics-constrained, data-efficient artificial intelligence framework that enables accurate thermal field inversion in chiplet-based packaging ...

In Maryland, it’s almost impossible to know how many have been detained or arrested by ICE since January — and immigration and data experts say this time-sensitive data is vital for transparency and ...