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Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

Tianming Liu

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Open access Sep 2026

Objectives and Key Results–Driven Multiagent Framework for Mechanical Design and Simulation

Advanced structural and materials design increasingly depends on complex geometries and microstructures spanning continuum and atomistic descriptions. Yet the early idea–design–simulation loop remains manual: engineers translate informal intent into modeling assumptions, select physics, assemble solver inputs, and revi...

Jie Tian, Lin Pang, Ji-Xin Hou et al. · 0 citations
Aug 2026

Context Perception Attention Generative Adversarial Network with Large Foundation Models for Alzheimer's Disease Risk Prediction.

An integrated framework fusing spatial and temporal information is proposed to improve prediction capability and develops a Context Perception Attention Generative Adversarial Network (CPA-GAN) that leverages adversarial training to mine AD evolutionary patterns, thereby supporting risk prediction and pathogeny extract...

Zhao-Xu Xing, Dafang Zhang, Kun Xie et al. · 0 citations
Jul 2026

Alzheimer's disease risk prediction via perceptual deformable attention generative adversarial network with large foundation models

A novel evolutionary pattern mining framework for precise disease risk prediction, which combines multi-scale sparse attention and deformable attention mechanisms to capture evolutionary patterns of fused multi-omics features, is proposed and developed.

Zhao-Xu Xing, Zheng Liu, Dafang Zhang et al. · 0 citations
Open access Jul 2026

Interpretable agentic AI system with localized reasoning for radiology.

RadFabric is presented, an agentic AI system that orchestrates fourteen specialized open-source CXR analytics models and two Vision-Language Models through a modular protocol that enables explainable, robust diagnoses across common and rare pathologies while facilitating extensibility through additional agents.

Wenting Chen, Yi Dong, Zhaojun Ding et al. · 3 citations
Book Open access Jul 2026

Quantum Machine Learning: Bridging Quantum Computing & Machine Learning

This workshop explores how quantum-based approaches can be meaningfully integrated into modern machine learning and computer graphics pipelines and frames quantum computing as an emerging computational substrate with practical relevance for hybrid architectures, quantum-enhanced models, and future learning paradigms.

Wei Zhang, Tianming Liu, Ying-Feng Wang et al. · 0 citations

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