Tag - machine learning

5 Ways to Improve Your Recruiting Strategy With AI and HR Software

A recent study has shown that a lack of skilled talent is the top hiring challenge, as 87% of HR professionals say that there were few qualified applicants for the positions they were trying to fill.

This is the reason why there’s currently a war for talent raging on, and companies have to go out of their way in order to attract and keep skilled people.

The screening and hiring processes are also complex and challenging. Companies receive avalanches of CVs for every vacant position, and it’s time-consuming to review every single one of them.

However, thanks to artificial intelligence (AI) and HR software, it’s much easier to find and hire the right person for the job.

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Concrete crack detection using Deep Learning and Computer Vision

Introduction

Cracks on the surface are a major defect in concrete structures. Early crack detection allows preventing possible damage. There are various approaches to solving this problem. It can be manual inspection or automatic detection methods. But nowadays automatic detection methods include not only laser testing and radiographic testing. Progress in neural networks and computer vision allows us to use image processing for concrete surface crack detection. 

In this article, we will share our approach to solving the problem mentioned above.

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Classification of image style using deep learning with Python

In this article, I want to talk about the use of convolutional neural networks for the classification of images by style.

The goal of our project is to build software to identify whether an image is in the “BMW style”. In other words, we are faced with the task of classifying images. It is important to note here that images could be of any content, with and without cars. So, the main interest here is not to identify a car object, or identify a BMW car, rather identify a BMW look and feel – colors, composition and so on. But we can’t select these attributes of style manually. To solve this problem, it was proposed to use a neural network, in which such complex features will be found automatically in the learning process.

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