The sheer volume of calculations that must be performed on these multidimensional data structures requires an enormous amount of computation and energy. But because of the way data in tensors are ...

A research team at POSTECH has developed a novel multidimensional sampling theory to overcome the limitations of flat optics.

Chemists have found a new way to determine 3D genome structures, using generative AI, that can predict thousands of genome structures in minutes, making it much speedier than existing methods for ...

The sheer volume of calculations that must be performed on these multidimensional data structures requires an enormous amount of computation and energy. However, because of how data in tensors are ...

TDWI instructor Chris Adamson defines dimensional data modeling as “the nexus of a holistic approach to managing business intelligence, analytics, and governance programs. Used at a program level to ...

This study introduces a multidimensional sampling theory, overcoming Nyquist limitations and enhancing metasurface design for advanced optical applications.

To fully explore the resulting high-dimensional single cell datasets ... parameter in an UMAP controls how the algorithm balances local and global structure in the data. In the tSNE algorithm this is ...

Large language models (LLMs) are poised to have a disruptive impact on health care. Numerous studies have demonstrated ...