Results 101 to 110 of about 82,239 (329)
High-Performance Watershed Delineation Algorithm for Gpu Using Cuda and Openmp
, 2022 Bartłomiej Kotyra
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High Performance Eigenvalue Solver for Hubbard Model: Tuning Strategies for LOBPCG Method on CUDA GPU [PDF]
, 2020 Yamada Susumu +2 more
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VIEW, EarlyView.Turbidity‐based digital LAMP offers a low‐cost alternative for nucleic acid quantification, but interpreting bright‐field images is difficult due to weak contrast and noise. We developed NanoFuse‐YOLO11, an AI‐based detection model that automatically identifies positive reaction units in turbidity microscopy images.
Zhu Chen +7 more
wiley +1 more source
Current Directions in Biomedical Engineering, 2016 UWB microwave imaging has proven to be a promising technique for early-stage breast cancer detection. The extensive image reconstruction time can be accelerated by parallelizing the execution of the underlying beamforming algorithms.
Salomon Christoph J. +2 more
doaj +1 more source
Filozoficzne Aspekty Genezy, 2021 Jest to recenzja książki Michaela J. Behe'ego Darwin's Black Box: The Biochemical Challenge to Evolution (The Free Press, New York 1996), zawierającej krytykę ewolucjonizmu. Futuyma krytykuje tezę Behe'ego, że nieredukowalna złożoność układów biochemicznych świadczy o tym, iż zaprojektował je jakiś inteligentny projektant, tj. nie zostały one utworzone
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The performance of drones and artificial intelligence for monitoring sage‐grouse at leks
Wildlife Biology, EarlyView.Accurately monitoring sage‐grouse populations is critical for conservation, yet traditional ground‐based visual surveys face challenges in scalability and consistency, prompting the exploration of innovative drone‐based methodologies enhanced by artificial intelligence.
Lance B. McNew +2 more
wiley +1 more source
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Large language models (LLMs) have made remarkable advances in natural language processing, demonstrating great potential in modelling structured sequences. However, adapting these capabilities to machine gaming tasks such as Go remains challenging due to limitations in strategy generalisation and optimisation efficiency.
Xiali Li +5 more
wiley +1 more source
Towards Real-Time Density Profile Reconstruction With Cuda [PDF]
, 2016 Pedro Nicolau Machado Carvalho +3 more
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Parallel programming with CUDA: Parallelprogrammering med CUDA
, 2012 This report documents our master thesis project, which is about parallel programming with CUDA, the NVIDIA GPU architecture with support for general purpose computing. The purpose of the thesis is to uncover the qualities of CUDA as a parallel computing platform, determining the possibilities and limitations of its ability to handle different types of ...
Nielsen, Jon, Mosegaard, Truls
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Credit‐Driven Adaptive Grouping for Refined Cooperative Multi‐Agent Reinforcement Learning
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Policy heterogeneity is crucial for achieving sophisticated coordination in complex collaborative tasks, which has emerged as one of the key challenges in multi‐agent reinforcement learning (MARL) in recent years. Notably, the grouping paradigm has made remarkable progress in addressing policy heterogeneity.
Yirui Liu +6 more
wiley +1 more source