Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving ...

Ecuador: A newly developed AI model shows promise in improving the safety of liposuction by accurately predicting patient ...

The DMTA cycle depends on clear data flow, yet most labs still work across disconnected systems. Sean McGee, Director of ...

As generative artificial intelligence (AI) systems become increasingly embedded in creative and commercial ecosystems, a ...

Open radio access network (RAN) technology remains a work in process due to complexity and integration challenges, but an increasing number of operators and vendors are getting behind AI as a way to ...

The GC–MS dataset was integrated with the sensory data using a series of exploratory and predictive multivariate statistical ...

AWS, Cisco, CoreWeave, Nutanix and more make the inference case as hyperscalers, neoclouds, open clouds, and storage go ...

Biology has always been an unruly science. Cells divide when they want to. Genes switch on and off like temperamental lights.

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

The voluntary carbon market is at a crossroads. Every overestimated baseline, every inflated claim, weakens buyer confidence. But abandoning avoidance would be a mistake. Protecting primary forests ...