Results 71 to 80 of about 55,120 (264)

FedDrip: Federated Learning With Diffusion-Generated Synthetic Image

IEEE Access
In the realm of machine learning in healthcare, federated learning (FL) is often recognized as a practical solution for addressing issues related to data privacy and data distribution.
Karin Huangsuwan, Timothy Liu, Simon See, Aik Beng Ng, Peerapon Vateekul   +4 more
doaj   +1 more source

NVIDIA NVIDIA NCP-OUSD PDF

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

AI‐Designed Cyclic Peptides Enable Controllable Modulation of the CD28 Immune Checkpoint

Advanced Science, EarlyView.
AI‐designed cyclic peptides enable controllable modulation of the CD28 immune checkpoint through reversible disruption of CD28‐CD80/CD86 interactions. The lead peptide, CIP‐3, suppresses T‐cell activation without intrinsic agonist activity, demonstrates dose‐dependent efficacy in a murine colitis model, and attenuates inflammatory cytokine production ...
Katarzyna Kuncewicz, Saurabh Upadhyay, Renjie Zhu, Hongliang Duan, Moustafa T. Gabr   +4 more
wiley   +1 more source

CUDASW++4.0: ultra-fast GPU-based Smith–Waterman protein sequence database search

BMC Bioinformatics
Background The maximal sensitivity for local pairwise alignment makes the Smith-Waterman algorithm a popular choice for protein sequence database search. However, its quadratic time complexity makes it compute-intensive.
Bertil Schmidt, Felix Kallenborn, Alejandro Chacon, Christian Hundt   +3 more
doaj   +1 more source

Multi-process thermodynamic graph learning for 2D fluid simulation

Virtual Reality & Intelligent Hardware
Solving partial differential equations (PDEs) for fluid simulation is computationally expensive, especially when dealing with complex geometries and high-resolution meshes.
Yidi WANG, Aik Beng NG, Simon SEE, Zhengkui WANG, Frank GUAN   +4 more
doaj   +1 more source

NVIDIA NVIDIA NCP-AAI PDF

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

De Novo Design of Membrane‐Targeting Antimicrobial Peptides Against Gram‐Negative Bacteria Using a Generative Artificial Intelligence Framework

Advanced Science, EarlyView.
Antimicrobial resistance caused by Gram‐negative bacteria remains difficult to overcome due to the protective outer membrane. To address this challenge, a multi‐condition constrained generative AI framework, GenMTAMP is proposed for de novo membrane‐targeting antimicrobial peptide design by integrating physicochemical and spatial structure descriptors.
Jingxiao Yu, Da‐Wen Sun, QingYi Wei, Yibing Zhang, Jidong Tang, Hongbin Pu   +5 more
wiley   +1 more source

Solar Irradiance Forecasting Using a Hybrid Quantum Neural Network: A Comparison on GPU-Based Workflow Development Platforms

IEEE Access
Modern renewable power operations can be enhanced by integrating deep neural networks, particularly for forecasting solar irradiance. Recent advancements in quantum computing have shown potential improvements in classical deep neural networks.
Ying-Yi Hong, Dylan Josh Domingo Lopez, Yun-Yuan Wang   +2 more
doaj   +1 more source

Quantum simulation of CO2 chemisorption in an amine-functionalized metal–organic framework [PDF]

AIP Advances
We perform a series of calculations using simulated quantum processing units (QPUs), accelerated by the NVIDIA CUDA-Q platform, focusing on a molecular analog of an amine-functionalized metal–organic framework, a promising class of materials for CO2 ...
Jonathan R. Owens, Marwa H. Farag, Pooja Rao, Annarita Giani   +3 more
doaj   +1 more source

ProSiteHunter: A Unified Framework for Sequence‐Based Prediction of Protein‐Nucleic Acid and Protein‐Protein Binding Sites

Advanced Science, EarlyView.
This study proposed a unified sequence‐based framework for protein binding site prediction, which adopted a tri‐track semantic multi‐source feature fusion strategy to effectively capture diverse macromolecular interaction sites and further improved the accuracy of antibody‐antigen interaction prediction.
Dongliang Hou, Qihang Zhen, Zexin Lv, Xinyue Cui, Suhui Wang, Minghua Hou, Zhan Zhou, Xiaogen Zhou, Guijun Zhang   +8 more
wiley   +1 more source