DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either ...

Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...

Abstract: Model-free predictive control has demonstrated robust performance while maintaining the benefits of predictive control, including precision and rapid transient response. This technique has ...

Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots ...

Researchers worked with the Federal Reserve to create a predictive model that assesses hundreds of institutional ...

The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...

PEGASUS generates permeable macrocyclic peptides, offering new promise for a modality that can combine the properties of a biologic in a pill ...

When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...

ABSTRACT: Heart disease remains one of the leading causes of mortality worldwide, accounting for millions of deaths annually. Early detection of individuals at risk is essential for reducing ...

Chad Beam provides the ins and outs of the implementation of GIS, advanced communication systems and predictive modeling to ensure that staffing, to whatever extent, is utilized most effectively. A ...

Abstract: Model predictive control has attracted much attention in electric drives, but its parameter sensitivity on explicit models poses inherent challenges to the further application. This paper ...