Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

If large-scale datasets of experimental data can be built through this approach, it is expected to enable researchers to gain ...

Tadeo Ramirez-Parada studied the timing of plant flowering for his PhD — but he didn’t touch a single petal. Instead, he ...

Computers found what human experts missed: a divide between aging biology research and patient care that decades of funding ...

The purpose of this research is to define the conditions under which developing countries find themselves implementing Artificial Intelligence in their governance systems. This scientific contribution ...

A review of more than 1,000 studies suggests that using technology to communicate with others is better than nothing—but ...

Researchers are trying to understand why some wild species do better than others over time, as the environment changes.

Artificial intelligence and machine learning play an increasingly important role. Algorithms trained on large datasets are ...

A new machine learning tool developed at Princeton will enable researchers to sift through trillions of design options to predict which metal organic framework will be useful in laboratories or ...

Discover how a new machine learning method can help scientists predict which MOF structures are good candidates for advanced ...

Princeton researchers have developed a new tool to speed the discovery of advanced materials known as metal organic frameworks, or MOFs.MOFs are an ...