Results 221 to 230 of about 422,144 (319)

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

Advanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan, Hengheng Zhao, Haotian Wang, Zhanjie Liu, Qian Li, Weifeng Zhang, Qingsong Zhao, Liqun Zhang, Jun Liu   +8 more
wiley   +1 more source

Artificial intelligence in diagnosis of pediatric neurodevelopmental disorders: a scoping review. [PDF]

World J Pediatr
Ramírez MAN, Rodríguez MM, Salas MJC, Rincón EHH.   +3 more
europepmc   +1 more source

mGluR5 in ECCCK to BLA Circuit Modulates Depressive‐Like Phenotypes through CCK Signaling

Advanced Science, EarlyView.
Dysregulation of mGluR5 and CCK signaling contributes to major depressive disorder, yet circuit‐level mechanisms remain unclear. Here, the ECCCK→BLA pathway is identified as a critical regulator of affective behavior. mGluR5 modulates synaptic function and CCK signaling within this circuit, controlling stress susceptibility and depressive‐like states ...
Muhammad Asim, Huajie Wang, Gao Qianqian, Abdul Waris, Jufang He   +4 more
wiley   +1 more source

Portfolio Selection Using Artificial Intelligence:From Genetic Algorithms to Deep Reinforcement Learning, Graph Neural Networks, and Large Language ModelsA Revised and Extended Framework

Mohamed Benbouziane, Abdelhadi Benghalem
openalex   +1 more source

Artificial Intelligence based Human Facial Action Recognition by Deep Learning Neural Network

, 2019
Computer Science and Engineering, PDACE, Kalaburgi, India, Dr.Suvarna Nandyal, Lakshmi, Computer Science and Engineering, PDACE, Kalaburgi, India,   +3 more
openalex   +1 more source

Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES

Advanced Science, EarlyView.
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu, Wanpeng Zou, Yuekai Li, Jiayi Wang, Mingxuan Cai, Hongmin Cai   +5 more
wiley   +1 more source

Integrative deep learning strategies to enhance early-stage drug discovery: optimizing computational structure-activity modeling for pharmacotherapeutic innovation. [PDF]

J Pharm Pharm Sci
Rezazi S, Si-Moussa C, Hanini S.
europepmc   +1 more source

Stable Diffusion Models Reveal a Persisting Human–AI Gap in Visual Creativity

Advanced Science, EarlyView.
This study examines visual creativity in humans and generative AI using the TCIA framework. Human artists outperform AI overall, yet structured human guidance substantially improves AI outputs and evaluations. Findings reveal that alignment with human creativity depends critically on contextual framing, highlighting both the promise and current ...
Silvia Rondini, Claudia Alvarez‐Martin, Paula Angermair‐Barkai, Olivier Penacchio, Marc Paz, Matthew Pelowski, Dan Dediu, Antoni Rodriguez‐Fornells, Xim Cerda‐Company   +8 more
wiley   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source