Researchers at Florida Atlantic University have developed an automated method to detect and remove mislabeled data before training machine learning models, significantly improving their reliability ...

This study systematically compares how different generative AI tools—LLMs, text-to-image (T2I), and text-to-3D (T2-3D) models—support distinct stages of the creative process. The findings reveal a ...

Researchers at Rensselaer Polytechnic Institute and City University of Hong Kong propose a novel AI framework inspired by 3D brain-like neural structures and recursive loops. This vertically ...

This perspective paper proposes a comprehensive, three-axis blueprint to integrate AI into water treatment at the technological, engineering, and industrial levels. By transforming rigid systems into ...

Open Molecules 2025 is a landmark dataset of over 100 million quantum-level molecular simulations, developed by Meta and U.S. national labs, to train machine learning models for chemistry. It paves ...