Metal additive manufacturing (AM), widely regarded as a revolution in modern manufacturing for its ability to produce ...

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 ...

Using the second-nearest neighboring atoms to predict metallic glass stability can help researchers more accurately model the disordered solid with strong, elastic properties, according to a recent ...

The RoboLens platform, conceptualized and developed by Dr. Gill himself, integrates Artificial Intelligence, Machine Learning ...