AI workflows fundamentally depend on real-time data movement: ingesting training data streams, feeding live data to models for inference and distributing predictions back to applications. But strip ...

The most successful healthcare AI deployments today aren’t about diagnosing patients. They’re about removing the cognitive ...

Abstract: Data-driven methods based on deep neural networks (DNNs) are widely employed for predicting the remaining useful life (RUL) of equipment, yielding remarkable results. However, the ...