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

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, ...

Vibe coding creates unreliable software and risks long-term model collapse, where systems degrade due to compounding errors ...

Abstract: Model predictive control (MPC) has emerged as a highly regarded control strategy in power electronics for renewable energy applications. While it minimizes tracking errors and control effort ...

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 ...

TVS Motor Company has recently ventured into the quickly growing ADV motorcycle segment in India, with the new Apache RTX 300. the manufacturer hopes to be the gateway product for new buyers, who are ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...