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 ...

Using AI and machine learning as transformative solutions for semiconductor device modeling and parameter extraction.

Nvidia Corp. today announced the launch of Nemotron 3, a family of open models and data libraries aimed at powering the next ...

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 ...

Tipping points are the death of ecosystems. So scientists watch as warning signs gradually worsen until an ecosystem reaches the point of no return, when animal populations suddenly collapse. While ...

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

DBTA's webinar, Succeeding with Modern Data Applications, gathered a series of experts to evaluate key technologies, tools, and best practices for developing modern data apps that enable a data-driven ...

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 ...