Behavior-Derived Intelligence Transforms How Recovery Is Supported, Measured, and Sustained Human behavior leaves a ...

A machine learning model predicted cardiac tamponade during AF ablation with high accuracy. Learn how XGBoost may improve ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

Report from wireless connectivity trade body outlines frameworks and priorities needed to scale intelligent Wi-Fi through artificial intelligence and machine learning without industry fragmentation.

A new study introduces a global probabilistic forecasting model that predicts when and where ionospheric disturbances—measured by the Rate of total electron content (TEC) Index (ROTI)—are likely to ...

For roughly a decade, Microsoft has been perfecting a high-density storage technology that uses glass, lasers, and cameras, ...

Some school district IT teams have been experimenting with using generative AI tools for cybersecurity, for example to ...

Another theory held that the forces between two particles falls off exponentially in direct relationship to the distance between two particles and that the factor by which it drops is not dependent on ...

Public debate about artificial intelligence (AI) in higher education has largely orbited a familiar worry: cheating. Will students use chatbots to write essays? Can instructors tell? Should ...

Current models of mortality risk after heart failure (HF) rely primarily on cardiac-specific clinical variables and may ...

Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require.

The scientist is author of one of the most influential works in the history of tumor research ...