Combining these two methods resulted in a new way of determining causality in spike trains. The core idea is to calculate the accuracy of predictions one makes on a given spike train based on data ...

Data scientists today face a perfect storm: an explosion of inconsistent, unstructured, multimodal data scattered across silos – and mounting pressure to turn it into accessible, AI-ready insights.

In an era where data reigns supreme, healthcare organizations find themselves with unprecedented opportunities to use data to transform patient care, operational efficiency and commercial outcomes.

Abstract: Advancing Multimodal AI for Integrated Understanding and Generation explores the transformative potential of multimodal artificial intelligence (AI), which integrates diverse data types such ...

Cardiovascular diseases (CVDs) remain the leading cause of global mortality, necessitating a shift from traditional reactive treatments to proactive, ...