Many experiments on a system or process have multiple responses of interest, each with potentially different data types and hence underlying distributions. However, traditionally, designing the ...

Stanford Medicine researchers have developed an artificial intelligence tool to help scientists better plan gene-editing ...

Single-cell RNA sequencing (scRNA-seq) has revolutionized modern biology, allowing scientists to study the expression of ...

While AI chatbots grab most of the attention, deep learning is also quietly revolutionizing science and engineering. A new AI model that can help predict the outcome of fusion power experiments could ...

Many chemical and biological experiments involve multiple treatment factors and often it is convenient to fit a non-linear model in these factors. This non-linear model can be mechanistic, empirical ...

Professor Toshiaki Taniike is pioneering the integration of data science and materials chemistry to accelerate the discovery of advanced materials. His research in materials informatics uses machine ...

WEST LAFAYETTE, Ind. — After a decade of preparation and two years of active experiments in space, a facility that Purdue University and NASA’s Glenn Research Center in Cleveland designed, built and ...