Scientists have designed a new MPEA with superior mechanical properties using a data-driven framework that leverages the supercomputing power of explainable artificial intelligence (AI).

More information: Chenyu Dong et al, Time-lagged recurrence: A data-driven method to estimate the predictability of dynamical systems, Proceedings of the National Academy of Sciences (2025).

Data Science, with its computational muscle and agile toolkits (Python, R, SQL, machine learning), has evolved into the go-to degree for roles demanding immediacy, precision, and automation.

A Data-Driven Framework for Predicting Cadmium Risk in Wheat Production. (IMAGE) Nanjing Institute of Environmental Sciences, MEE Caption ...

The system demonstrates advanced automatic and autonomous material synthesis for data- and robot-driven materials science. The current research is published in the journal Digital Discovery.