An international research team from Innsbruck and Geneva has, for the first time, probed the dimensional crossover for ultracold quantum matter. In the regime between one and two dimensions, the ...

Reducing redundant information to find simplifying patterns in data sets and complex networks is a scientific challenge in many knowledge fields. Moreover, detecting the dimensionality of the data is ...

A partial matching approach can overcome the dimensionality "curse" of continuous measurements over time to yield more accurate future predictions. By scanning past data for both partial and complete ...

In the realm of data analysis and machine learning, the abundance of information often comes hand in hand with the curse of high dimensionality. As datasets grow larger and more complex, the challenge ...