In recent years, the forecasting community has increasingly pivoted to trying to build and learn from AI-fueled prediction ...

In a world increasingly reliant on real-time data and uninterrupted digital services, Prabhu Govindasamy Varadaraj presents a transformative vision for system observability. With expertise rooted in ...

In physics, a phase transition is a transformation of a substance from one form to another. They happen everywhere, from ...

One of the biggest challenges in demand forecasting is ensuring that models developed by data scientists align with the needs ...

In an era where technology drives global economies and enterprise agility hinges on digital foresight, Sushma Kukkadapu emerges as a quiet yet powerful force shaping the evolution of enterprise ...

Mixture-of-Experts (MoE) models are revolutionizing the way we scale AI. By activating only a subset of a model’s components ...

In an industry sometimes challenged by legacy systems and broad assumptions, Sharon Rodriguez is forging a new path that ...

Abstract: The article is devoted to the development of a machine learning ... of forecasting errors on the operational regime of the electrical network was performed through automated modeling of ...

Barnwell notes, however, that “there can be no doubt that what it does provide is a period of time for relaxation where ... it’s advised to continue using reflexology alongside other doctor ...