Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even ...

A machine learning model bests traditional methods for predicting cirrhosis mortality among hospitalized patients.

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend ...

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 ...

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

Supervised learning is a machine learning approach in which algorithms are trained on labelled datasets—that is, data that already includes the correct outputs or classifications. The model learns to ...

Successful AI implementation doesn’t depend on good technology; it requires strong data strategies and judgment to know when ...

Learn what autoML means and how its tools help businesses access artificial intelligence without huge tech investments.

Building Privacy and Preserving AI Models for Secure Student Data Management in Educational Technology Platforms. Journal of Intelligent Learning Systems and Applications, 17, 149-171. doi: ...