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 ...

Spatially distributed prediction of streamflow and nitrogen (N) export dynamics is essential for precision management of ...

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

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 ...

Abstract: Machine learning stands poised to revolutionize the process of scientific discovery across various disciplines. In this talk, we will introduce a state-of-the-art scientific machine learning ...

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 ...