Results 181 to 190 of about 296,500 (268)
Advanced Intelligent Discovery, EarlyView.This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 more
wiley +1 more source
Skyrmionic Polarization Textures in Structured Dielectric Planar Media. [PDF]
NanophotonicsDi Colandrea F, Marrucci L, Cardano F.
europepmc +1 more source
Uncertainty‐Guided Selective Adaptation Enables Cross‐Platform Predictive Fluorescence Microscopy
Advanced Intelligent Discovery, EarlyView.Deep learning models often fail when transferred to new microscopes. A novel framework overcomes this by selectively adapting the early layers governing low‐level image statistics, while freezing deep layers that encode morphology. This uncertainty‐guided approach enables robust, label‐free virtual staining across diverse systems, democratizing ...
Kai‐Wen K. Yang +9 more
wiley +1 more source
Decoding the unseen: unsupervised anomaly detection in metal-organic frameworks for discovery beyond the norm. [PDF]
Chem SciAlimardani H, Abaei S, Asgari M.
europepmc +1 more source
Large‐Scale Machine Learning to Screen for Small‐Molecule Senolytics
Advanced Intelligent Discovery, EarlyView.A consistent workflow underpins all experiments in this study. A dedicated model‐selection dataset first identifies optimal hyperparameters for each algorithm. Models are then trained and rigorously evaluated on independent sets of molecules using the senolytic ratio SR. Comprehensive hyperparameter exploration across SMILES representations, task types,
Alexis Dougha +2 more
wiley +1 more source
Reduced Symmetry Metal–Organic Cage‐to‐Framework Materials
Angewandte Chemie, EarlyView.A series of Ag(I) MOFs was synthesised from organic cages of varying structure and symmetry as linkers. Minor variations in the cage linkers were shown to significantly influence the structures of the resulting MOFs. This work represents the first incorporation of reduced symmetry (including chiral), intrinsically porous building blocks into MOFs, and ...
Cameron J. T. Cox +5 more
wiley +2 more sources
Decoupling Size from Shape: Cellular Sheaf Laplacians as Ligand Geometry Descriptors for Binding Affinity Prediction. [PDF]
Int J Mol SciAkgüller Ö, Balcı MA, Cioca G.
europepmc +1 more source
Advanced Intelligent Systems, EarlyView.Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
The two dragons of cognition: recursive condensation for predictive processing. [PDF]
Front Comput NeurosciLi X.
europepmc +1 more source
Advanced Intelligent Systems, EarlyView.This paper presents a high‐speed object pose estimation method that deconstructs objects into geometric components. Inspired by human cognitive generalization, it detects these primitives and infers the 6D pose from their stable spatial configuration.
Xuyang Li +6 more
wiley +1 more source