Wired

A New Algorithm Makes It Faster to Find the Shortest Paths

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 ...
IEEE

Automatic Crack Locating Algorithm Using a Convolution Kernel Based on Eddy Current Field for the Fractal Planar Eddy Current Probe

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 ...
IEEE

Hardware Implementation of Improved Banker’s Fixed-Point Rounding Algorithm

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 ...
marktechpost

This AI Research Unveils a Deep Convolutional Neural Network CNN-MLP Algorithm for Enhanced Brain Age Prediction: A Game-Changer in Neurodegenerative Disease Prognosis

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 ...
GitHub

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

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

Soni, A.N. (2019). Spam E-Mail Detection Using Advanced Deep Convolution Neural Network Algorithms. Journal for Innovative Development in Pharmaceutical and Technical Science ...

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 ...
marktechpost

Stanford University Researchers Introduce FlashFFTConv: A New Artificial Intelligence System for Optimizing FFT Convolutions for Long Sequences

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

RuntimeError: no valid convolution algorithms available in CuDNN

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 ...