Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...

Business leaders today are navigating an era of complex uncertainty, where risk moves faster than traditional oversight can keep up. From global supply chain volatility to internal compliance ...

Large language models can act as predictive models. Here's an example for misinformation detection—and an introduction to savings curves. Not all business problems are best addressed with generative ...

Roboworx, the leading robot field service organization, today launched advanced artificial intelligence (AI)-powered predictive analytics capabilities for its Robot Service Manager (RSM) software.

What’s launching today is Pecan’s “predictive agent,” an autonomous system that can interpret a company’s unique data structure, or “fingerprint,” by breaking down the predictive workflow into ...

Relating brain activity to behavior is an ongoing aim of neuroimaging research as it would help scientists understand how the brain begets behavior — and perhaps open new opportunities for ...

The semiconductor industry, as always, is at the forefront of transformational technological innovation, driving escalating complexity of manufacturing processes that extend time-to-market delivery, ...

A study led by researchers at the Institute for Research in Biomedicine of Lleida (IRBLleida), the University of Lleida (UdL) ...

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 ...