Researchers developed and validated ElasticNet machine learning models that predict 12-month MMSE and BADL outcomes in ...

Researchers develop a hybrid framework combining biological optimization with deep learning to overcome data noise and aging ...

Japan is an archipelago with diverse climate zones and complex topography that is prone to heavy rain and flooding. Add the ...

Abstract: Inspired by soft-bodied animals, soft continuum robots provide inherently safe and adaptive solutions in robotics, especially suited for applications requiring gentle interactions. However, ...

Abstract: Traditional spatiotemporal data analysis often relies on predictive models that overlook causal relationships, making it difficult to identify true drivers and formulate effective ...

This repository contains the official implementation and data for the paper "Can We Predict Before Executing Machine Learning Agents?". Traditional machine learning agents rely on an iterative ...

Economists have noticed that betting markets like Kalshi and Polymarket are pretty good at predicting not just political events but economic data, too. Credit...Andrea Chronopoulos Supported by By ...

Cleveland-Cliffs, Inc. is a flat-rolled steel company, which engages in provision of iron ore pellets to the North American steel industry. It focuses on the production of metallic and coke, iron ...

MEMPHIS, Tenn., February 10, 2026 — FedEx Corp. (NYSE: FDX) today released its first-ever Future of Logistics Intelligence Report, amid growing supply chain pressures. The findings reveal that while ...

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 ...

Results: Integration of active and passive data outperformed single-modality models, achieving mean balanced accuracies of 0.71 for SDQ-high risk, 0.67 for insomnia, 0.77 for suicidal ideation, and ...