Abstract: Transformers are widely used in natural language processing and computer vision, and Bidirectional Encoder Representations from Transformers (BERT) is one of the most popular pre-trained ...
A research team led by Prof. LIU Haiqing at the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, has ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. This study systematically investigates the factors that influence the performance of ...
A behind-the-scenes blog about research methods at Pew Research Center. For our latest findings, visit pewresearch.org. Every survey finding published by Pew Research ...
Faculty of Mechanical & Electrical Engineering, Yunnan Agricultural University, Kunming, China Introduction: This is study investigates fatigue crack propagation in B780CF steel, aiming to establish ...
Neural networks are increasingly integrated into scientific discovery, where input data reduction and model quantization play a key role in accelerating inference ...
Uptime Institute’s 7th annual outage report reveals networking issues, the challenges of infrastructure complexity, and configuration-related mishaps impact data center reliability. Power-related ...
Abstract: Deep neural networks (DNNs) are making their way into safety-critical systems, but they can be vulnerable to soft errors in hardware. Traditional duplication-based resilience methods are too ...
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