Results 141 to 150 of about 79,263 (305)

Artificial Intelligence‐Empowered Single‐Cell Phenotyping for Rapid, Automated Pathogen Diagnostics

Advanced Science, EarlyView.
This work presents an integrated diagnostic platform that combines microfluidic single‐cell bacterial detection with artificial intelligence‐driven analysis for rapid antimicrobial susceptibility testing. Single‐cell phenotyping enables assessment of antibiotic response in only a few cell replication cycles, while AI analysis supports precise bacterial
Sabita Khadka, Bushra Raahat, Spyros Tragoudas, Hui Li   +3 more
wiley   +1 more source

Deep‐Learning‐Based Denoising for Improved Phase Precision in Electron Holography of Electromagnetic Fields in Nanoscale Materials

Advanced Science, EarlyView.
Low‐dose electron holography is limited by shot noise, which buries weak phase signals. HoloDenoiser, a physics‐informed network that works simultaneously in the spatial and frequency domains, locates and protects the holographic sideband while suppressing noise in the hologram.
Ye Luo, Luyang Wang, Zhiling Yu, Xiaowen Chen, Xiaoyu Wang, Ya‐Hui Jia, Thibaud Denneulin, Yu Han, Rafal E. Dunin‐Borkowski, Fengshan Zheng, Qi Liu   +10 more
wiley   +1 more source

Dual pKa Lipid Nanoparticles for Lung‐tropic mRNA Delivery and pH‐Programmed Endosomal Escape

Advanced Science, EarlyView.
Lipid nanoparticles’ bottleneck lies in low endosomal escape efficiency and liver‐dominant delivery after intravenous administration. To overcome these limitations, we present a stepwise pH‐programmed lipid nanoparticle system enabled by our newly synthesized ionizable lipid.
Seong Gi Lim, Minju Lee, Yiming Wang, Eunjin Choi, Ji Sun Park, Kyungmin Park, Hayoung Jeon, Donghyun Kim, Donghyun Lee, Yeeun Lee, Kee‐Pyo Kim, Eunha Kim, Heebeom Koo   +12 more
wiley   +1 more source

NVidia CUDA Technology

, 2009
Tato diplomová práce se zabývá zkoumáním možností akcelerace obecných algoritmů na grafických procesorech firmy NVIDIA. Nejprve je zde uveden popis paralelních architektur a paralelního programování, další část je určena detailům architektury NVIDIA CUDA.
Ziegler, Zdeněk
core   +2 more sources

Opportunities challenges and roadmap for humanoid robots in construction

Scientific Reports
The construction industry faces pressing challenges, including persistent labor shortages, hazardous working conditions, and stagnating productivity gains.
Thanakon Uthai, Hengxu You, Mengjun Wang, Kaleb Smith, Everett Spackman, Zoe Ryan, Shuai Li, Jing Du   +7 more
doaj   +1 more source

The Nvidia Innovator’s Dilemma

1. Bibliographic Context and Executive AbstractThis document presents a high-level strategic synthesis of Slava Solodkiy’s April 2026 treatise, The NVIDIA Innovator’s Dilemma. This scholarly review evaluates the strategic trajectory of NVIDIA Corporation, which by early 2026 achieved an unprecedented $5-trillion valuation.
openaire   +1 more source

Predicting The Purchase Decision Nvidia Graphics Card [PDF]

Penelitian ini mengeksplorasi bagaimana citra merek, kesadaran merek, kecintaan merek, dan ekuitas merek mempengaruhi keputusan pembelian. Penelitian ini mengambil judul “Memprediksi Keputusan Pembelian Kartu Grafis NVIDIA”.
RAMADHAN, Ferdin Ridho
core  

An Optimized Freeze‐Dry Multimodal Workflow for Sequential Micro‐CT Imaging, Histology, and Molecular Profiling: A Use Case in Human Liver Fibrosis

Advanced Science, EarlyView.
Optimized freeze‐drying and eosin staining deliver artifact‐free micro‐CT images of liver tissue at near‐histological detail, then hand the same specimen back for sectioning, staining, and sequencing. Fibrotic volume distinguishes normal liver from cirrhosis, while preserved RNA reveals inflammatory gene upregulation—one biopsy, three dimensions, and a
Kristijan Skok, Laura Činč Ćurić, Jernej Vajda, Silvia Schauer, Martin Wagner, Rudolf Stauber, Carolin Lackner, Karl Kashofer, Markus Plass, Giovanny Rodriguez Blanco, Ian R. Wanless, Uroš Maver, Katrin Panzitt, Boštjan Vihar   +13 more
wiley   +1 more source

DyProL: Dynamic Ensemble Representation Learning for Protein–Nucleic Acid Binding Site Prediction

Advanced Science, EarlyView.
Protein function is represented as a dynamic conformational ensemble rather than a single static structure. A multi‐conformation geometric attention framework aligns, clusters, and learns representative states to capture residue‐ and ensemble‐level signals. Integrating structural dynamics improves interpretable protein‐NA binding prediction and reveals
Pengpai Li, Yiman Liu, Liya Liang, Rongming Liu   +3 more
wiley   +1 more source