When AI and Experts Agree on Error: Intrinsic Ambiguity in Dermatoscopic Images. [PDF]
Cino L +5 more
europepmc +1 more source
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto +5 more
wiley +1 more source
Supervised and Unsupervised AI-Driven Structural Health Monitoring Framework for Additively Manufactured Metal Components. [PDF]
Byfield R, Shabaka A, Tansel I.
europepmc +1 more source
Toward Intelligent Multimodal Holography for Real‐Time Chemical Imaging of Dynamic Ion Separation
Intelligent multimodal holography integrates digital off‐axis holography, spectroscopic imaging, and AI‐driven reconstruction to visualize ion transport and chemical dynamics in real time. In this perspective paper, we outline how this approach enables label‐free, chemically specific monitoring of complex environments and discuss its potential to ...
Giovanna Ricchiuti +3 more
wiley +1 more source
Energy-efficient traffic sign recognition using directly trained spiking neural networks and population decoding. [PDF]
Schulte JV, Peters S.
europepmc +1 more source
When Biology Meets Medicine: A Perspective on Foundation Models
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source
Correction for Anand et al., Convolutional neural networks outperform other presence-only species distribution modeling algorithms. [PDF]
europepmc +1 more source
Identification of Peristomal Skin Alterations Using Convolutional Artificial Neural Networks. [PDF]
López-Medina IM +10 more
europepmc +1 more source
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta +3 more
wiley +1 more source
Multimodal Fusion of Structural and Diffusion MRI for Intelligence Prediction. [PDF]
Sapkota R, Thapaliya B, Liu J.
europepmc +1 more source

