A new AI-based system can generate high-resolution soybean yield maps across Brazil using only limited local data, improving ...

Researchers have created a prediction method that comes startlingly close to real-world results. It works by aiming for strong alignment with actual values rather than simply reducing mistakes. Tests ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

Urban environments depend on complex assemblages of infrastructure assets, interconnected networks, and socio-technical ...

A data science course is meant to equip learners with a higher level of positions that are founded on the analysis of data, statistics, and machine learning aimed at addressing intricate problems. The ...

Once a promising but mostly supportive tool, artificial intelligence now stands at the center of how businesses manage and interpret customer data. Its capabilities are reshaping industries, enabling ...

Behavioral information from an Apple Watch, such as physical activity, cardiovascular fitness, and mobility metrics, may be more useful for determining a person's health state than just raw sensor ...

A study in Risk Sciences examines whether alternative “big data” and the LASSO variable-selection method can strengthen health risk assessment in critical illness insurance. Using insurer application ...