Results 101 to 110 of about 101,726 (332)

Examination of the Nvidia RTX

GraphiCon'2019 Proceedings. Volume 2, 2019
Hardware acceleration of ray tracing is an active research field, but only with the release of Nvidia Turing architecture GPUs it became widely available. Nvidia RTX is a proprietary hardware ray tracing acceleration technology available in Vulkan and DirectX APIs as well as through Nvidia OptiX.
Alexey Voloboy, Vladimir Frolov, Alexey Gorbonosov, Vadim Sanzharov   +3 more
openaire   +1 more source

NVIDIA/cuQuantum: cuQuantum v22.07.0

, 2022
Documentation and full release notes for all versions are located here: https://docs.nvidia.com/cuda/cuquantum/index ...
sam-stanwyck, Leo Fang, hhbayraktar, ahehn-nv   +3 more
core   +1 more source

TacVerse: A Multisensor Dataset and Benchmark for Cross‐Sensor Vision‐Based Tactile Perception

Advanced Robotics Research, EarlyView.
TacVerse provides a controlled benchmark of 106 800 tactile images from seven vision‐based tactile sensors across shape classification, grating classification, and force regression. Direct cross‐sensor transfer reveals substantial sensor‐shift degradation, with grating and force perception more affected than shape recognition.
Lan Wei, Gurmeher Khurana, Sirine Bhouri, Wenhao Hong, Zeyuan Xin, Qingzheng Cong, Wen Fan, Yanzheng Xiang, Dandan Zhang   +8 more
wiley   +1 more source

Fault-tolerant operation and materials science with neutral atom logical qubits

npj Quantum Information
We report on the fault-tolerant operation of logical qubits on a neutral atom quantum computer, with logical performance surpassing physical performance for multiple circuits including Bell state preparation (12x error reduction), random circuits (15x ...
Woo Chang Chung, Daniel C. Cole, Pranav Gokhale, Eric B. Jones, Kevin W. Kuper, David Mason, Victory Omole, Alexander G. Radnaev, Rich Rines, Mariesa H. Teo, Matt J. Bedalov, Matt Blakely, Peter D. Buttler, Caitlin Carnahan, Frederic T. Chong, Palash Goiporia, Bettina Heim, Garrett T. Hickman, Ryan A. Jones, Pradnya Khalate, Jin-Sung Kim, Martin T. Lichtman, Stephanie Lee, Nathan A. Neff-Mallon, Thomas W. Noel, Mark Saffman, Efrat Shabtai, Bharath Thotakura, Teague Tomesh, Angela K. Tucker   +29 more
doaj   +1 more source

Deep Contrastive Learning for High‐Throughput Prediction of Drug Resistance Mutations from Sequences

Advanced Science, EarlyView.
This study presents DeepMutDTA, a deep learning framework aimed at predicting mutation‐induced changes in protein‐drug interactions and prioritizing variants potentially linked to drug resistance. Trained on large‐scale data, it incorporates SimSiam‐MuTF, a label‐aware contrastive fine‐tuning strategy that encourages separation between WT and MT ...
Xiaowen Hu, Pan Zhang, Shangqian Wu, Hao Sun, Minwei Li, Sophia Tsoka, Zizhang Sheng, Lei Deng   +7 more
wiley   +1 more source

Stable Machine‐Learning Parameterization of Subgrid Processes in a Comprehensive Atmospheric Model Learned From Embedded Convection‐Permitting Simulations

Journal of Advances in Modeling Earth Systems
Modern climate projections often suffer from inadequate spatial and temporal resolution due to computational limitations, resulting in inaccurate representations of sub‐grid processes.
Zeyuan Hu, Akshay Subramaniam, Zhiming Kuang, Jerry Lin, Sungduk Yu, Walter M. Hannah, Noah D. Brenowitz, Josh Romero, Michael S. Pritchard   +8 more
doaj   +1 more source

Rab1A Promotes Hepatic Steatosis by Suppressing Mitophagy via the Raf‐1/ERK1/2/PINK1 Signaling Axis

Advanced Science, EarlyView.
Why does fat accumulate in the liver? Our study reveals Rab1A as the molecular switch that silences the cell's mitochondrial cleanup crew. Turning Rab1A off reactivates mitophagy, clears excess fat, and reverses fatty liver disease in mice—offering a promising new therapeutic target for MASLD, a growing global health challenge.
Li Zhang, Jianhua Li, Huilu Zhang, Qi Qin, Yichen Huang, Xiaofan Tian, Chao Sun, Binbin Li, Zhengxin Wang, Xin Zhang   +9 more
wiley   +1 more source

PIGNN3D: an accelerated physics-informed graph neural network for 3D thermal field simulation in data centers

Visual Intelligence
Efficient thermal management is critical in data centers, where computational fluid dynamics (CFD) simulations provide high-fidelity airflow and temperature predictions but remain computationally demanding and time-intensive.
Yidi Wang, Aik Beng Ng, Simon See, Daniel Wang, Frank Guan   +4 more
doaj   +1 more source

NVIDIA/cuQuantum: cuQuantum v22.05.0

, 2022
Documentation and full release notes for all versions are located here: https://docs.nvidia.com/cuda/cuquantum/index ...
sam-stanwyck, Leo Fang, hhbayraktar, ahehn-nv   +3 more
core   +1 more source

Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI

Advanced Science, EarlyView.
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia, Martin J. Graves, Mary McLean, Carolin Pirkl, Carola‐Bibiane Schönlieb, Timo Schirmer, Florian Wiesinger, Matthias J. Ehrhardt   +7 more
wiley   +1 more source