In the rapidly evolving landscape of modern manufacturing and engineering, a new technology is emerging as a crucial enabler-Data-Model Fusion (DMF). A recent review paper published in Engineering ...

New research published in Operations Research shows that health care systems can substantially reduce overtime, idle time, and overall staffing costs by adopting a multilocation, dynamic ...

Data-intensive fields are growing, and future employees in STEM careers need to be able to understand and contribute to complex data projects. This certificate is designed to enhance the training and ...

Within the Aerospace Mechanics Research Center in the Department of Aerospace Engineering Sciences at the University of Colorado Boulder, the UQ and Data-driven lab is led by Professor Alireza Doostan ...

Google LLC’s cloud division is rolling out new database and data cloud innovations to support customers building and scaling artificial intelligence applications to ensure that they are grounded in ...

Transforming the chemicals industry, AI application models enhance formulation development, enabling rapid, accurate responses to evolving market demands.

Constructing the truly modern data application, capable of driving data-informed decisions across the organization, requires a lot of effort. To dramatically improve productivity, operational ...

Sea urchins climb onto kelp when their densities are so high they remove all drift kelp and then actively forage on attached, living kelp. (Credit: Steve Lonhart / NOAA MBNMS) Tipping points are the ...

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

A data science course is meant to equip learners with a higher level of positions that are founded on the analysis of data, statistics, and machine learning aimed at addressing intricate problems. The ...