Quantum machine learning (QML), also called quantum-enhanced machine learning, blends the computing power of quantum systems with the increasing computing demands of ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

The key takeaway, the authors say, is that adding flexibility or complexity to models doesn't always lead to better performance. The authors used a machine learning technique called autoencoding to ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

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 ...