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

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 ...

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

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

Look closely at any machine-learning algorithm and you’ll inevitably find people—people making choices about which data to gather and how to weigh it, choices about design and target variables.

More importantly, they say, their machine-learning-based method was extremely efficient, reducing the number of compounds that needed to be screened by more than 200-fold.

Machine learning is a rapidly growing field with endless potential applications. In the next few years, we will see machine learning transform many industries, including manufacturing, retail and ...

A machine learning algorithm for detecting and classifying acute respiratory disease showed good predictive ability based on cough sounds among pediatric patients, according to a new study ...

Then I’ll discuss 14 of the most commonly used machine learning and deep learning algorithms, and explain how those algorithms relate to the creation of models for prediction, classification ...