Alan David Rudolph outlines a framework for scaling B2B SaaS focused on customer predictability. He stresses using data as ...

Cloud-based retrofitting changes the picture. Cheap scalable compute and faster networks now make it possible to offload ...

Predictive AI routinely fails to deploy, so data scientists are spearheading a movement to focus on its business value. But ...

AI-enabled predictive maintenance systems are critical for achieving the speed, autonomy, and adaptability that smart ...

GenAI is super advanced – but it doesn’t replace predictive AI, it only augments it. The two will remain intrinsically ...

TotalEnergies partnered with Honeywell to deploy machine learning technologies at its Port Arthur Refinery in Texas, ...

In 2012, the IAEA published a technical report for establishment and implementation of quality assurance programmes in CT: IAEA Human Health Series No. 19. The report provides guidance on quality ...

Abstract: In this paper, we address the problem of reducing the computational burden of Model Predictive Control (MPC) for real-time robotic applications. We propose TransformerMPC, a method that ...

Self-control—or the ability to manage one's impulses, emotions, and behaviors to achieve long-term goals—is what separates humans from the rest of the animal kingdom. Self-control is primarily rooted ...

Abstract: Online optimal control of quadruped robots would enable them to adapt to varying inputs and changing conditions in real time. A common way of achieving this is linear model predictive ...

Objective: To explore the influencing factors of catheter-related bloodstream infection (CRBSI) in neonates with peripherally inserted central catheter (PICC) in the neonatal intensive care unit (NICU ...

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