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 ...

Apple Intelligence researchers have released a whole series of new academic papers concerned with furthering AI's ability to ...

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 ...

Uncover the significance of supercomputing and AI in developing next-gen aircrafts that can combat turbulent airflow.

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

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, ...

Researchers employed a machine learning technique known as random forest analysis and found that it significantly outperformed traditional methods in predicting which hospitalized patients with ...

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