Artificial Intelligence Medical Compendium

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

Showing 56,241 to 56,250 of 227,153 articles

OLion: Approaching the Hadamard Ideal by Intersecting Spectral and $\ell_{\infty}$ Implicit Biases

arXiv Feb 1, 2026
Many optimizers can be interpreted as steepest-descent methods under norm-induced geometries, and thus inherit corresponding implicit biases. We introduce \nameA{} (\fullname{}), which combines spectral control from orthogonalized update directions w... read more 
Machine Learning cs.AI

LightCity: An Urban Dataset for Outdoor Inverse Rendering and Reconstruction under Multi-illumination Conditions

arXiv Feb 1, 2026
Inverse rendering in urban scenes is pivotal for applications like autonomous driving and digital twins. Yet, it faces significant challenges due to complex illumination conditions, including multi-illumination and indirect light and shadow effects. ... read more 
Computer Vision and Pattern Recognition

ChronoSpike: An Adaptive Spiking Graph Neural Network for Dynamic Graphs

arXiv Feb 1, 2026
Dynamic graph representation learning requires capturing both structural relationships and temporal evolution, yet existing approaches face a fundamental trade-off: attention-based methods achieve expressiveness at $O(T^2)$ complexity, while recurren... read more 
Machine Learning

Parallel Training in Spiking Neural Networks

arXiv Feb 1, 2026
The bio-inspired integrate-fire-reset mechanism of spiking neurons constitutes the foundation for efficient processing in Spiking Neural Networks (SNNs). Recent progress in large models demands that spiking neurons support highly parallel computation... read more 
Neural and Evolutionary Computing

Generalized Radius and Integrated Codebook Transforms for Differentiable Vector Quantization

arXiv Feb 1, 2026
Vector quantization (VQ) underpins modern generative and representation models by turning continuous latents into discrete tokens. Yet hard nearest-neighbor assignments are non-differentiable and are typically optimized with heuristic straight-throug... read more 
Machine Learning

Robust Machine Learning Framework for Reliable Discovery of High-Performance Half-Heusler Thermoelectrics

arXiv Feb 1, 2026
Machine learning (ML) can facilitate efficient thermoelectric (TE) material discovery essential to address the environmental crisis. However, ML models often suffer from poor experimental generalizability despite high metrics. This study presents a r... read more 
Materials Science cs.LG

Improving Robustness of Vision-Language-Action Models by Restoring Corrupted Visual Inputs

arXiv Feb 1, 2026
Vision-Language-Action (VLA) models have emerged as a dominant paradigm for generalist robotic manipulation, unifying perception and control within a single end-to-end architecture. However, despite their success in controlled environments, reliable ... read more 
Computer Vision and Pattern Recognition cs.RO

Semantically Aware UAV Landing Site Assessment from Remote Sensing Imagery via Multimodal Large Language Models

arXiv Feb 1, 2026
Safe UAV emergency landing requires more than just identifying flat terrain; it demands understanding complex semantic risks (e.g., crowds, temporary structures) invisible to traditional geometric sensors. In this paper, we propose a novel framework ... read more 
Computer Vision and Pattern Recognition cs.AI

EEmo-Logic: A Unified Dataset and Multi-Stage Framework for Comprehensive Image-Evoked Emotion Assessment

arXiv Feb 1, 2026
Understanding the multi-dimensional attributes and intensity nuances of image-evoked emotions is pivotal for advancing machine empathy and empowering diverse human-computer interaction applications. However, existing models are still limited to coars... read more 
Computer Vision and Pattern Recognition

Bridging Lexical Ambiguity and Vision: A Mini Review on Visual Word Sense Disambiguation

arXiv Feb 1, 2026
This paper offers a mini review of Visual Word Sense Disambiguation (VWSD), which is a multimodal extension of traditional Word Sense Disambiguation (WSD). VWSD helps tackle lexical ambiguity in vision-language tasks. While conventional WSD depends o... read more 
Computation and Language cs.CV
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