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

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 ...

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 ...

If you are interested in learning more about artificial intelligence and specifically how different areas of AI relate to each other then this quick guide providing an overview of Machine Learning vs ...

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...

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 ...

A new software enables brain simulations which both imitate the processes in the brain in detail and can solve challenging ...