Deep learning-based enhancement of epigenomics data with AtacWorks
Nature Communications, 2021 ATAC-seq measures chromatin accessibility as a proxy for the activity of DNA regulatory regions across the genome. Here the authors present AtacWorks, a deep learning tool to denoise and identify accessible chromatin regions from low cell count, low ...
Avantika Lal +5 more
doaj +1 more source
A large language model for electronic health records
npj Digital Medicine, 2022 There is an increasing interest in developing artificial intelligence (AI) systems to process and interpret electronic health records (EHRs). Natural language processing (NLP) powered by pretrained language models is the key technology for medical AI ...
Xi Yang +18 more
doaj +1 more source
Energy Consumption of Neural Networks on NVIDIA Edge Boards: an Empirical Model [PDF]
International Symposium on Modeling and Optimization in Mobile, Ad-Hoc and Wireless Networks, 2022 Recently, there has been a trend of shifting the execution of deep learning inference tasks toward the edge of the network, closer to the user, to reduce latency and preserve data privacy.
Seyyidahmed Lahmer +3 more
semanticscholar +1 more source
Integration of JUNO simulation framework with Opticks: GPU accelerated optical propagation via NVIDIA® OptiX™ [PDF]
EPJ Web of Conferences, 2021 Opticks is an open source project that accelerates optical photon simulation by integrating NVIDIA GPU ray tracing, accessed via NVIDIA OptiX, with Geant4 toolkit based simulations.
Blyth Simon
doaj +1 more source
Reducing memory requirements for large size LBM simulations on GPUs [PDF]
, 2017 The scientific community in its never-ending road of larger and more efficient computational resources is in need of more efficient implementations that can adapt efficiently on the current parallel platforms. Graphics processing units are an appropriate
Axner +30 more
core +2 more sources
Performance Evaluation of cuDNN Convolution Algorithms on NVIDIA Volta GPUs [PDF]
, 2019 Convolutional neural networks (CNNs) have recently attracted considerable attention due to their outstanding accuracy in applications, such as image recognition and natural language processing.
Jordà, Marc +2 more
core +2 more sources
Accelerating Monte Carlo simulations with an NVIDIA® graphics processor [PDF]
, 2009 Modern graphics cards, commonly used in desktop computers, have evolved beyond a simple interface between processor and display to incorporate sophisticated calculation engines that can be applied to general purpose computing.
Blaschke, Johannes +3 more
core +2 more sources
Network Anatomy and Real-Time Measurement of Nvidia GeForce NOW Cloud Gaming [PDF]
Passive and Active Network Measurement ConferenceCloud gaming, wherein game graphics is rendered in the cloud and streamed back to the user as real-time video, expands the gaming market to billions of users who do not have gaming consoles or high-power graphics PCs.
Minzhao Lyu +3 more
semanticscholar +1 more source
The Effect of Earnings Announcement on the Market Value of Corporate Stock [PDF]
Облік і фінансиOn June 18, 2024, Nvidia's stock was momentarily crowned as the world's most valuable stock – surpassing other technology companies. Accordingly, this paper aims to analyze the differential effect of Nvidia's earnings announcement on the company's stock ...
Collins C Ngwakwe
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Lightweight Fruit-Detection Algorithm for Edge Computing Applications
Frontiers in Plant Science, 2021 In recent years, deep-learning-based fruit-detection technology has exhibited excellent performance in modern horticulture research. However, deploying deep learning algorithms in real-time field applications is still challenging, owing to the relatively
Wenli Zhang +11 more
doaj +1 more source