Northwestern University and University of California, Los Angeles (UCLA) scientists have developed a new process-based ...

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

Despite the AI hype, ML tools really are proving valuable for leading-edge chip manufacturing. More aggressive feature ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

U.S. Department of Energy's (DOE) Argonne National Laboratory is helping researchers explore novel ways to design aeroplanes ...

Although they mostly go unnoticed by humans, small earthquakes occur much more frequently than large earthquakes, and knowing ...

Media formulation was improved using a combination of advanced machine learning techniques, thermodynamic modeling, and ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

Understanding and predicting complex physical systems remain significant challenges in scientific research and engineering. Machine learning models, while powerful, often fail to follow the ...

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

Advanced machine learning model, promises faster and more accurate estimation of wear-and-tear in industrial systems ...

These systems focus on improving forecast accuracy, efficiency, and extreme weather handling through advanced machine ...