Data-driven science represents a transformative paradigm in materials science. Both data-driven materials science and informatics encompass systematic knowledge extraction from materials datasets.

Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but ...

Agrivoltaic project developer Okovate Sustainable Energy has acquired the assets of Fundusol, a modeling platform born out of Stanford University and ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

Michael O. Lawanson, a Nigerian data scientist at the University of Arkansas, United States, is at the forefront of global ...

Governing equations in the form of ordinary and partial differential equations are valuable models for physical systems. However they can be difficult to derive, making them unknown, particularly for ...

For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...

The push for incorporating data and analytics into business is widespread, and empirical evidence confirms it's not just hype. Data-driven companies are 23 times more likely to top their competitors ...