The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

Abstract: The quantitative evaluation of defects is one of the challenges of eddy current (EC) testing. Efficient algorithm that requires a small amount of time and hardware resources is needed. In ...

Abstract: In recent years, FPGA-based convolutional neural networks (CNNs) accelerator has received tremendous research interest, especially in fields such as autonomous driving and robotics. For the ...

Last year, fashion publications wrote extensively about the impact of the algorithm on personal style. (Vogue Business included.) In last year’s fashion conversation, ‘the algorithm’ surpassed its ...

In tackling the intricate task of predicting brain age, researchers introduce a groundbreaking hybrid deep learning model that integrates Convolutional Neural Networks (CNN) and Multilayer Perceptron ...

error in inference process (no valid convolution algorithms available in CuDNN) #25 ...

ABSTRACT: Spam emails pose a threat to individuals. The proliferation of spam emails daily has rendered traditional machine learning and deep learning methods for screening them ineffective and ...

Reasoning efficiently across extended sequences is a major difficulty in machine learning. Recently, convolutions have emerged as a critical primitive for sequence modeling, supporting ...

Mining algorithms are the backbone of blockchain-based networks like Bitcoin and other protocols. In blockchain technology, mining algorithms are necessary for transaction verification and network ...

File "/workspace/miniconda3/envs/open-mmlab/lib/python3.7/site-packages/mmcv/runner/iter_based_runner.py", line 130, in run iter_runner(iter_loaders[i], **kwargs ...