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

When you listen to quantum enthusiasts, you may feel tempted to treat QML as an emerging silver bullet, which it isn’t.

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

Sukender Reddy Mallreddy, a Salesforce Consultant and data science expert, explains these concepts in his new book, "Real-Time Data Structures: Innovations for Machine Learning with Streaming Data." ...

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

Both generative AI and machine learning use algorithms to address complex challenges, but generative AI uses more sophisticated modeling and more advanced algorithms to add a creative element ...

Researchers at Northwestern Engineering have developed a scientific machine learning framework that predicts and inversely designs the mechanical behavior of spinodal metamaterials – specially ...