Inside America's Next Top Model" features former contestants lobbing accusations and charges at the reality show.

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 ...

ACHS spotlights 2026 integrative health trends, highlighting prevention, personalized care, tech-driven wellness ...

Explore what noncore items are, their role in business, and see examples like HR and supply chain management. Learn how they impact finances and business health.

For us, nonlinear time finds natural expression in a metaphor: the koru, or unfolding fern frond. Researcher Paula Toko King ...

Three economists grabbed a beer. A multibillion-dollar industry was born. The billion-dollar prediction markets industry ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...

AI agents can handle physics-based modeling complexity while engineers focus on design judgment and tradeoffs.

This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to ...

In this work, the authors systematically advance macro-micro integration with feedback (MMIF) as a transformative paradigm for analyzing urban mega-mobility systems, synthesizing the state-of-the-art ...

This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...