They call it a “world model”, an essential tool to help AI systems make sense of the complex, unpredictable physical spaces ...

Abstract: As more autonomous vehicles enter traffic, it is critical for autonomous vehicles to behave like human drivers, allowing humans and autonomous vehicles to share traffic environments ...

Researchers at IIT Bombay have developed predictive models capable of calculating sintering-induced shrinkage in 3D printed ...

LIANYUNGANG, JIANGSU, CHINA, February 13, 2026 /EINPresswire.com/ -- The global petrochemical and energy landscape is ...

A data-driven environmental planning framework strengthens climate governance through quality control standards, interdisciplinary expertise, ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Explore advanced physics with **“Modeling Sliding Bead On Tilting Wire Using Python | Lagrangian Explained.”** In this tutorial, we demonstrate how to simulate the motion of a bead sliding on a ...

AI is searching particle colliders for the unexpected ...