Anonymization of Portuguese Clinical Notes Using Large Language Models and Quantum-Enhanced Hybrid Architectures: Comparative Evaluation Study. [PDF]
Rahmeh S +6 more
europepmc +1 more source
Molecular Rectification: Mechanisms, Modulation Strategies, and Device Realization
This review focuses on molecular rectification, from its fundamental mechanisms and modulation strategies to device realization. It summarizes the theoretical framework, modulation strategies, fabrication techniques, characterization methods, and modeling and simulation of molecular rectifiers, while discussing challenges and future directions for ...
Junnan Guo +8 more
wiley +1 more source
PARSEC.py: A Python-Based Real-Space Kohn-Sham Density Functional Theory Code Accelerated by Machine Learned Charge Density. [PDF]
Zhang Z +4 more
europepmc +1 more source
Probabilistic Ising machines are introduced as hardware‐native Gaussian samplers for edge communication workloads. Tunable variance and sampling density enable accurate distributions for Falcon‐class post‐quantum signatures and diffusion‐based semantic communication.
Davi Rodrigues +10 more
wiley +1 more source
Twelve quick tips for designing AI-driven HPC workflows. [PDF]
Alnasir JJ.
europepmc +1 more source
Improved Skills for Predicting Sub‐Seasonal to Seasonal Global Sea Surface Temperature
Addressing the critical Sub‐seasonal to Seasonal predictability gap, this study presents CAS‐Canglong, a novel deep learning framework. By leveraging 3D Swin‐Transformers to capture long‐range ocean interactions, the model demonstrates superior skill over traditional GCMs.
Longhao Wang +6 more
wiley +1 more source
Physics‐Guided Multi‐Channel Restoration for Efficient and Accurate Atomic Force Microscopy Imaging
Schematic figure of restoring noisy atomic force micrscopy (AFM) image via physics‐guided multi‐channel restoration. The lighter neural network models with multiple‐channel input from auxiliary signals outperforms heavier model with single‐channel input.
Jaeuk Sung +13 more
wiley +1 more source
Fast and Accurate GPU-Accelerated Computation of Two-Electron Four-Center Coulomb Repulsion Integrals. [PDF]
Kaur A +7 more
europepmc +1 more source
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source

