MLIP calculations successfully identify suitable dopants for a novel photocatalytic material, report researchers from the ...

Machine learning algorithms may accurately predict inborn errors of immunity (IEI) in children with persistently low serum IgE.

Reliable and scalable water level prediction is crucial in hydrology for effective water resources management, especially ...

Researchers report that the integration of machine learning and Internet of Things (IoT) technologies is enabling a new generation of intelligent industrial environments capable of real-time ...

The tool analyzes the city's network of more than 600 miles of water mains to determine which are most in need of repairs.

A new way to solve data scarcity: Turning qualitative reports into quantitative data with an LLM.

A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a complication that can occur late in pregnancy. Preeclampsia is a ...

Cambridge, MA — In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its ...

Data analytics studies existing business data to identify patterns, trends, and insights that support better decisions.Data ...

Reliable and scalable water level prediction is crucial in hydrology for effective water resources management, especially when considering challenges ...

Characterized by weakened or damaged heart musculature, heart failure results in the gradual buildup of fluid in a patient's lungs, legs, feet, and other parts of the body. The condition is chronic ...

Washington University in St. Louis researchers and clinicians have been incorporating data from Fitbit wristbands into machine-learning models that could predict surgical outcomes, pain after surgery ...