One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...

A machine learning model may help predict mortality for hospitalized patients with cirrhosis at the time of admission, ...

The natural protein universe is vast, and yet, going beyond and designing new proteins not observed in nature can yield new ...

Advancements in biomedical technologies have significantly facilitated the diagnosis and monitoring of diseases. Nonetheless, traditional diagnostic ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

Since flooding incidences are becoming more frequent and serious globally due to climate change, flood prediction has become more crucial than ever. Recently, in forecasting systems, Machine Learning ...

Machine Learning (ML) algorithms applied to various chemical and materials science problems sparked a scientific and technological revolution, which allows addressing fundamental questions and ...

Cyberattacks pose a significant threat to internet security and may cause great damage to businesses. Machine learning methodologies have been widely used to detect cyber intrusions. This study ...