Unit-free theorem pinpoints key variables for AI and physics models

Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...
IEEE

A Physical Mechanism-Constrained Deep Learning Hybrid Model for Retrieving Surface Temperature Under Nonprecipitation Cloud

Abstract: The wide range acquisition of all-weather land surface temperatures (LSTs) from passive microwave (PMW) remotely sensed data contributes to understanding the land-atmosphere interactions, ...
IEEE

Early Prediction of Post-Route Physical Design Data Using a Machine Learning Model

Abstract: Faster and more effective physical design cycles are essential as the semiconductor industry pushes the limits of device complexity further. Physical design phases like place-and-route (PnR) ...