The agency’s 31% year-over-year surge in AI use cases includes work with predictive models and surveillance technologies that sparked concern from privacy and technology safety advocates.

Appa Rao Nagubandi's research advocates for autonomous predictive agents and low-latency analytics to enable real-time P&L ...

For decades, researchers have attempted to pinpoint the specific areas of the brain responsible for human intelligence. A new ...

Abstract: Increasing shares of intermittent renewable generation in the power grid require efficient building energy management solutions to preserve grid stability. A prominent approach for ...

The transition of artificial intelligence from reactive systems to predictive agents signifies a profound shift toward the realization of autonomous machine intelligence. Central to this evolution is ...

ABSTRACT: Alpine and subalpine belts on continental Europe can be viewed as “islands” of cold-adapted vegetation surrounded by a “sea” of thermophilic species. Carex curvula, a flagship species that ...

New approach methodologies (NAMs) aim to address the limitations of animal models by assessing drug efficacy and safety in a more ethical, human-relevant way. The term ‘NAMs’ encompasses several ...

Partnership launches AI solution to enhance predictive heart valve visualization and personalize valve treatment planning decisions enabling the future of TAVR for structural heart patients DUBLIN, OH ...

Figure 1: Principal components analysis (PCA) biplot of talent and financial variables (2017–2023); EBITDA = earnings before interest, taxes, depreciation, and amortization; EPS = earnings per share; ...

Bringing Trustworthy Artificial Intelligence to the Clinical Forefront at JCO: A Guide for Studies Testing Artificial Intelligence Models The following represents disclosure information provided by ...