Artificial Intelligence Medical Compendium

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

Showing 50,491 to 50,500 of 225,062 articles

Large-Scale Cooperative Sulfur Vacancy Dynamics in Two-Dimensional Mos2 From Machine Learning Interatomic Potentials.

Small (Weinheim an der Bergstrasse, Germany)
The formation of extended sulfur vacancies in MoS2 monolayers is closely associated with catalytic activity and may also be the basis for its memristive behavior. Nanosecond-scale molecular dynamics simulations using machine learning interatomic pote... read more 

Deep learning-assisted double strong coupling between multi-order anapoles and excitons.

Optics letters
High-order anapoles present strongly concentrated energy and narrow resonance widths and thus become burgeoning candidates in nonlinear optical conversion and strong coupling fields. Nevertheless, existing studies are rarely focused on strong couplin... read more 

A method for aerosol fluorescence lifetime measurement based on Mie-fluorescence lidar.

Optics letters
In this Letter, a remote sensing method for measuring the fluorescence lifetime of aerosols is proposed, which combines the Mie-fluorescence lifetime-scattering (MFLS) model, established based on Mie and fluorescence lidar theory, with the golden sec... read more 

Atmospheric carbon concentration scenario classification based on the fusion of spectral and acoustic modalities.

Optics letters
Accurate carbon concentration monitoring is vital for climate change mitigation and environmental management. While laser-induced breakdown spectroscopy (LIBS) offers rapid, non-destructive detection, it is affected by plasma fluctuations and environ... read more 

PRISM: a peak region identification and signature mapping method based on laser-induced spectroscopy-acoustics fusion for metal corrosion discrimination.

Optics letters
To overcome the single-modal limitations of Laser-Induced Breakdown Spectroscopy (LIBS) for identifying diverse metal corrosion types in industrial settings, we introduce a multi-modal approach by incorporating acoustic signals, termed Laser-Induced ... read more 

Discovery of a novel compound against BmNPV using virtual screening based on the protein structure of the viral whole genome.

Pesticide biochemistry and physiology
Currently, effective antiviral drugs against Bombyx mori nucleopolyhedrovirus (BmNPV) are still lacking, which has caused significant economic damage to the sericulture industry. Virtual screening and artificial intelligence provide opportunities for... read more 

Fusing Pixels and Genes: Spatially-Aware Learning in Computational Pathology

arXiv
Recent years have witnessed remarkable progress in multimodal learning within computational pathology. Existing models primarily rely on vision and language modalities; however, language alone lacks molecular specificity and offers limited pathologic... read more 

MarsRetrieval: Benchmarking Vision-Language Models for Planetary-Scale Geospatial Retrieval on Mars

arXiv
Data-driven approaches like deep learning are rapidly advancing planetary science, particularly in Mars exploration. Despite recent progress, most existing benchmarks remain confined to closed-set supervised visual tasks and do not support text-guide... read more 

Elastic Diffusion Transformer

arXiv
Diffusion Transformers (DiT) have demonstrated remarkable generative capabilities but remain highly computationally expensive. Previous acceleration methods, such as pruning and distillation, typically rely on a fixed computational capacity, leading ... read more 

Inject Where It Matters: Training-Free Spatially-Adaptive Identity Preservation for Text-to-Image Personalization

arXiv
Personalized text-to-image generation aims to integrate specific identities into arbitrary contexts. However, existing tuning-free methods typically employ Spatially Uniform Visual Injection, causing identity features to contaminate non-facial region... read more