Artificial Intelligence Medical Compendium

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

Showing 42,231 to 42,240 of 223,853 articles

A Multi-Label Temporal Convolutional Framework for Transcription Factor Binding Characterization

arXiv Mar 12, 2026
Transcription factors (TFs) regulate gene expression through complex and co-operative mechanisms. While many TFs act together, the logic underlying TFs binding and their interactions is not fully understood yet. Most current approaches for TF binding... read more 
Machine Learning cs.AI q-bio.GN

Towards Universal Computational Aberration Correction in Photographic Cameras: A Comprehensive Benchmark Analysis

arXiv Mar 12, 2026
Prevalent Computational Aberration Correction (CAC) methods are typically tailored to specific optical systems, leading to poor generalization and labor-intensive re-training for new lenses. Developing CAC paradigms capable of generalizing across div... read more 
Computer Vision and Pattern Recognition cs.RO eess.IV physics.optics

Resource-Efficient Iterative LLM-Based NAS with Feedback Memory

arXiv Mar 12, 2026
Neural Architecture Search (NAS) automates network design, but conventional methods demand substantial computational resources. We propose a closed-loop pipeline leveraging large language models (LLMs) to iteratively generate, evaluate, and refine co... read more 
Machine Learning cs.AI

EvoTok: A Unified Image Tokenizer via Residual Latent Evolution for Visual Understanding and Generation

arXiv Mar 12, 2026
The development of unified multimodal large language models (MLLMs) is fundamentally challenged by the granularity gap between visual understanding and generation: understanding requires high-level semantic abstractions, while image generation demand... read more 
Computer Vision and Pattern Recognition

Cornserve: A Distributed Serving System for Any-to-Any Multimodal Models

arXiv Mar 12, 2026
Any-to-Any models are an emerging class of multimodal models that accept combinations of multimodal data (e.g., text, image, video, audio) as input and generate them as output. Serving these models are challenging; different requests with different i... read more 
Machine Learning cs.DC

Hoi3DGen: Generating High-Quality Human-Object-Interactions in 3D

arXiv Mar 12, 2026
Modeling and generating 3D human-object interactions from text is crucial for applications in AR, XR, and gaming. Existing approaches often rely on score distillation from text-to-image models, but their results suffer from the Janus problem and do n... read more 
Computer Vision and Pattern Recognition cs.LG

Linking Perception, Confidence and Accuracy in MLLMs

arXiv Mar 12, 2026
Recent advances in Multi-modal Large Language Models (MLLMs) have predominantly focused on enhancing visual perception to improve accuracy. However, a critical question remains unexplored: Do models know when they do not know? Through a probing exper... read more 
Computer Vision and Pattern Recognition cs.CL

GlyphBanana: Advancing Precise Text Rendering Through Agentic Workflows

arXiv Mar 12, 2026
Despite recent advances in generative models driving significant progress in text rendering, accurately generating complex text and mathematical formulas remains a formidable challenge. This difficulty primarily stems from the limited instruction-fol... read more 
Computer Vision and Pattern Recognition cs.AI

Proof-Carrying Materials: Falsifiable Safety Certificates for Machine-Learned Interatomic Potentials

arXiv Mar 12, 2026
Machine-learned interatomic potentials (MLIPs) are deployed for high-throughput materials screening without formal reliability guarantees. We show that a single MLIP used as a stability filter misses 93% of density functional theory (DFT)-stable mate... read more 
Materials Science cs.AI cs.LG physics.comp-ph

Proof-Carrying Materials: Falsifiable Safety Certificates for Machine-Learned Interatomic Potentials

arXiv Mar 12, 2026
Machine-learned interatomic potentials (MLIPs) are deployed for high-throughput materials screening without formal reliability guarantees. We show that a single MLIP used as a stability filter misses 93% of density functional theory (DFT)-stable mate... read more 
Materials Science cs.AI cs.LG physics.comp-ph
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