Inspired by how the human brain consolidates memory, the 'Nested Learning' framework allows different parts of a model to ...

Osaka Metropolitan University researchers developed a technique to improve machine learning reliability and estimation results of gravitational wave parameters.

Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...

Research shows how artificial intelligence is revolutionizing plastics manufacturing through material development and process ...

The landscape of enterprise data strategy has undergone a remarkable transformation in recent years, driven by the rapid advancement of artificial intelligence and particularly machine learning ...

Machine learning (ML) enables the accurate and efficient computation of fundamental electronic properties of binary and ternary oxide surfaces, as shown by scientists. Their ML-based model could be ...

LinkedIn needed a better way to test and tune machine learning models, so it wrote its own tool that plugs into Visual Studio Code. Machine learning (ML) is becoming an increasingly important part of ...

Machine learning models can be incredibly valuable tools for business leaders. They can aid in interpreting historic data, making decisions for future initiatives, helping to improve the customer ...

To identify and evaluate candidate materials, process engineers must analyze an enormous amount of data. Bulk properties like ...

Researchers found that the Gaussian Process Regression (GPR) machine learning model is the most reliable tool for forecasting ...