Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 57,511 to 57,520 of 227,388 articles

Compression Tells Intelligence: Visual Coding, Visual Token Technology, and the Unification

arXiv Jan 28, 2026
"Compression Tells Intelligence", is supported by research in artificial intelligence, particularly concerning (multimodal) large language models (LLMs/MLLMs), where compression efficiency often correlates with improved model performance and capabili... read more 
Computer Vision and Pattern Recognition

Leveraging Second-Order Curvature for Efficient Learned Image Compression: Theory and Empirical Evidence

arXiv Jan 28, 2026
Training learned image compression (LIC) models entails navigating a challenging optimization landscape defined by the fundamental trade-off between rate and distortion. Standard first-order optimizers, such as SGD and Adam, struggle with \emph{gradi... read more 
Image and Video Processing cs.LG

Demystifying Prediction Powered Inference

arXiv Jan 28, 2026
Machine learning predictions are increasingly used to supplement incomplete or costly-to-measure outcomes in fields such as biomedical research, environmental science, and social science. However, treating predictions as ground truth introduces bias ... read more 
Machine Learning cs.LG

Open-Vocabulary Functional 3D Human-Scene Interaction Generation

arXiv Jan 28, 2026
Generating 3D humans that functionally interact with 3D scenes remains an open problem with applications in embodied AI, robotics, and interactive content creation. The key challenge involves reasoning about both the semantics of functional elements ... read more 
Computer Vision and Pattern Recognition cs.AI

PatchFormer: A Patch-Based Time Series Foundation Model with Hierarchical Masked Reconstruction and Cross-Domain Transfer Learning for Zero-Shot Multi-Horizon Forecasting

arXiv Jan 28, 2026
Time series forecasting is a fundamental problem with applications in climate, energy, healthcare, and finance. Many existing approaches require domain-specific feature engineering and substantial labeled data for each task. We introduce PatchFormer,... read more 
Machine Learning eess.SP

A New Dataset and Framework for Robust Road Surface Classification via Camera-IMU Fusion

arXiv Jan 28, 2026
Road surface classification (RSC) is a key enabler for environment-aware predictive maintenance systems. However, existing RSC techniques often fail to generalize beyond narrow operational conditions due to limited sensing modalities and datasets tha... read more 
Computer Vision and Pattern Recognition cs.AI

FreeFix: Boosting 3D Gaussian Splatting via Fine-Tuning-Free Diffusion Models

arXiv Jan 28, 2026
Neural Radiance Fields and 3D Gaussian Splatting have advanced novel view synthesis, yet still rely on dense inputs and often degrade at extrapolated views. Recent approaches leverage generative models, such as diffusion models, to provide additional... read more 
Computer Vision and Pattern Recognition

Risk Mitigation Strategies for Artificial Intelligence-Enabled Self-Driving Laboratories.

Applied biosafety : journal of the American Biological Safety Association Jan 28, 2026
INTRODUCTION: Self-driving laboratories (SDLs) are rapidly transforming the scientific enterprise by integrating artificial intelligence (AI), robotics, and automated experimentation to accelerate discovery with greater speed, autonomy, and precision... read more 

Engineering class I terpene synthases for skeletal diversity: strategies and applications.

Natural product reports Jan 28, 2026
Covering: up to August 2025Terpenoids constitute nature's largest and most structurally diverse class of natural products, with extensive applications in medicine, agriculture, and fragrance industries. Class I terpene synthases (TSs) create this rem... read more 

Insight into the temperature-dependent lattice thermal properties of CeO2 stabilized ZrO2 by machine learning force fields.

Physical chemistry chemical physics : PCCP Jan 28, 2026
The lattice thermal conductivity (LTC) and related properties of the ZrO2-CeO2 system are critically important for industrial applications, particularly in thermal protection. However, elucidating the complex atomic-scale processes governing these ph... read more 
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