Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

By leveraging AI/ML-driven modeling, Keysight enables semiconductor companies to accelerate innovation, reduce development ...

Advancing Superior Accuracy in Early Lung Cancer Detection Using Selective Metabolic Pathways and Data Enrichment for ...

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

A University of Idaho lab received $1.3 million from the Department of Defense to study early detection methods for ...

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

As artificial intelligence continues to integrate into various aspects of our lives, the next frontier in AI technology is quickly ...

As climate extremes intensify across Africa, the need for accurate and timely weather prediction has become increasingly ...

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.