If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing ...

The chosen model was XGBoost, a gradient boosting ensemble learning method with high efficiency, flexibility, explainability, and an ability to handle missing values. 22 XGBoost has been used in many ...

Imagine having a super-powered lens that uncovers hidden secrets of ultra-thin materials used in our gadgets. Research led by ...

Two new studies from the Department of Computational Biomedicine at Cedars-Sinai are advancing what we know about using ...

Machine learning algorithms can also predict financial risks by raising alarms about fraudulent activities. Business managers can tighten security by setting alerts including duplicate payments to ...

The FDA is already seeing an influx of drug and biological product applications referencing the use of AI and machine learning as those technologies have advanced in recent years. More than 100 ...