Traditional data architectures are rigid and siloed, limiting agility, experimentation and the cross-domain insights required ...

In a recent Views & Comments column published in Engineering, researchers Jinghai Li and Li Guo from the Chinese Academy of Sciences offer profound insights into the future development of data science ...

A flagship seven-year study that explores how environmental stresses influence different ecological processes shaping the composition and structure of microbial communities in groundwater has now been ...

The NFL is reshaping how professional football is played, managed and experienced through data. At the core of this shift is a unified data ecosystem — centralizing collection, storage and usage to ...

Humans have been modifying natural environments for millennia, leading to a deep co-evolution between social and natural systems. As a result, areas ...

Accurate classification of wetland vegetation is essential for biodiversity conservation and carbon cycle monitoring. This study developed an adaptive ensemble learning (AEL-Stacking) framework that ...