A research group has developed an innovative machine learning technology that enables predictions beyond the distribution of training data and demonstrated ... is trained using a large number ...

To quickly sort through such a huge data set, they've turned to machine learning, a way of using computers to identify patterns and make predictions ... During the analysis, the researchers ...

It accurately captures nonlinear, directional stress-strain responses with prediction ... machine learning approaches fail. Unlike many previous methods, the model is trained on real-world data ...

Machine learning models are becoming increasingly important in the prediction of economic crises. The models, however, use datasets comprising a large ... This paper introduces surrogate data models ...

Kruyer's lab focuses on relapse to heroin use ... in harmonic analysis and machine learning. "A central focus of my research is the development and application of mathematical techniques to uncover ...

Data science platform Kaggle is hosting a Wikipedia dataset that’s specifically optimized for machine learning applications. Data science platform Kaggle is hosting a Wikipedia dataset ...

Kruyer's lab focuses on relapse to heroin use ... in harmonic analysis and machine learning. "A central focus of my research is the development and application of mathematical techniques to uncover ...

Retailers are using AI-powered facial recognition technology to identify repeat offenders while AI scans video footage to detect suspicious behaviours in-store. Leveraging data to curb retail crime is ...