Results 111 to 120 of about 55,056 (264)
Unbiased Structure Prediction of Sophisticated Cage Structures
We introduce the software and workflow for automated, unbiased exploration of all possible connectivities of a given set of building blocks and their stoichiometry to predict stable cage structures. ABSTRACT Cage structure prediction has made significant strides by generating structures based on what the community has seen before.
Andrew Tarzia, Giovanni M. Pavan
wiley +2 more sources
Xstainer: A Novel Virtual Staining Tool Powered by Advanced Deep Learning Techniques
Xstainer is a deep learning–based virtual staining framework that converts hematoxylin and eosin‐stained whole slide images into multiple histochemical stains, including Masson's trichrome, Periodic acid‐Schiff, Jones methenamine silver, and Toluidine blue.
Fatma Nur Kinali +15 more
wiley +1 more source
The document titled "NVIDIA NCP-AAI PDF" serves as a comprehensive resource on NVIDIA's Advanced AI technologies and solutions. It encapsulates in-depth insights into various applications of AI within NVIDIA's frameworks, highlighting innovative features, technical specifications, and potential use cases in industries ranging from gaming to data ...
openaire +1 more source
Single‐cell Spatial Transcriptomics Analysis and Denoising Engine is introduced as a unified deep learning framework that jointly performs denoising, clustering, and gene prioritization in spatial transcriptomics. By integrating linear and nonlinear representations within a dual‐channel architecture, it improves robustness and accuracy, uncovers ...
Yaxuan Cui +11 more
wiley +1 more source
The document titled "NVIDIA NCP-OUSD PDF" provides an in-depth overview of NVIDIA's strategic initiatives and projects related to the Office of the Under Secretary of Defense (OUSD). This comprehensive PDF includes detailed insights into NVIDIA's cutting-edge technologies and their applications in defense and security sectors, highlighting how advanced
openaire +1 more source
Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison +4 more
wiley +1 more source
This research paper examines the structural basis of NVIDIA's dominance in the global AI accelerator market, which stands at 80–92% market share as of 2026. The central argument is that NVIDIA's competitive advantage is not attributable to hardware specifications but to a 20-year software ecosystem called CUDA — a deliberately engineered platform ...
openaire +2 more sources
A lightweight monocular perception framework generates high‐fidelity depth maps and integrates YOLOv8 detection to estimate object‐wise distances from a single RGB image. Evaluated on KITTI and the proposed D‐Far250 dataset, the system demonstrates accurate long‐range perception up to 250 m while maintaining real‐time performance, enabling scalable ...
Faseeh Muhammad +5 more
wiley +1 more source
Scene‐Customized Learning for Multi‐Depth 3D Phase‐Only Hologram Generation
Scene‐customized geometric modeling constructs GM‐4K, a controllable 4K RGB‐D dataset for learning‐based multi‐depth hologram generation. By tuning intensity spectra and depth‐region sampling, the dataset reveals how training‐data statistics affect phase‐only hologram encoding and supports a spectral test framework for evaluating model generalization ...
Yanan Zhang +5 more
wiley +1 more source
Cloud-to-Edge Deployment of Optimized nnU-Net for Ischemic Stroke Lesion Segmentation on Resource-Constrained Embedded Devices. [PDF]
Alcaraz-Ortiz D +2 more
europepmc +1 more source

