Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...

Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots ...

Implementing predictive analytics can become one of the biggest competitive differentiators for any educational institution ...

In the past decade, cloud-scale analytics tools have transformed the digital fight against deforestation. Instead of manual ...

ABSTRACT: GARCH models have been commonly used to capture volatility dynamics in financial time series. A key assumption utilized is that the series is stationary as this allows for model ...

Chances are, you’ve seen clicks to your website from organic search results decline since about May 2024—when AI Overviews launched. Large language model optimization (LLMO), a set of tactics for ...

Abstract: Model predictive control (MPC) achieves stability and constraint satisfaction for general nonlinear systems but requires computationally expensive online optimization. This brief studies ...

Marine coral sand-clay mixtures (MCCM) are widely used as fill materials in offshore engineering, where their strength characteristics are critical to structural stability and safety. This study ...

Predictive maintenance success depends on more than just data collection—it requires accurate interpretation, expert engineering input, and alignment between digital insights and real plant conditions ...

Gry Carl Terrell from the Danish Meat Research Institute introduces a valuable tool to maximise shelf life and ensure food safety A predictive model is a mathematical framework or algorithm that ...