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

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

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

TrainCheck uses training invariants to find the root cause of hard-to-detect errors before they cause downstream problems, saving time and resources.

Researchers have devised a new machine learning method to improve large-scale climate model projections and demonstrated that ...

Some physicists have been using machine-learning tools since the 1950s, but their widespread use in the field is a relatively new phenomenon. The idea to use a type of machine learning called a neural ...

At the forefront of discovery, where cutting-edge scientific questions are tackled, we often don’t have much data. Conversely, successful machine learning (ML) tends to rely on large, high quality ...