In 2025, AI-driven data analytics is transforming industries by enabling real-time decision-making, predictive modeling, and ...

Under the guise of efficiency and fraud prevention, the federal government is breaking down data silos to collect and ...

“ORNL is leading the AI frontier in science,” Potok concluded. “We are using AI to simulate, predict and accelerate ...

The electronic structure, atomistic simulation, and experimental data work together for the parametrization of an efficient CG model. In recent years, data-driven machine learning techniques have ...

This disjointed approach causes ‘dirty’ data that is not only difficult to use because the information is incorrect but also ...

Large-scale redesigns, including changes to core domains, may retain stability—challenging assumptions that such regions are off-limits.

Amrita has worked on many projects that were important throughout her career, including software development, data structures ...

Ionic liquids (ILs) are a class of molten salts with a collection of exciting properties, which have been employed for ...

Building high-performance AI and machine learning teams has become one of the most critical challenges facing engineering managers in 2025. Companies across every industry are rushing to integrate ...

This research aims to reactivate object-oriented databases using intelligent tools to improve performance and accuracy in ...

One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...

Jeesoo Lee, who spent nearly a decade at the search and cloud giant, has been named the director of product management at ...