ai/ml_您本周应阅读的有趣的AI / ML文章(8月9日)

ai/ml

分析与意见 (ANALYSIS AND OPINION)

I want to start my weekly compilation list of AI/ML articles with an expression of solidarity with the citizens of Beruit and Kerala that have been affected by this week’s tragic events.

我想从AI / ML文章的每周汇编列表开始,表达对本周悲剧事件影响的Beruit和Kerala居民的声援。

My condolences to the families and friends of the victims.

我向遇难者的家人和朋友表示慰问。

This week article covers another batch of well presented and detailed Medium articles that include stories on the following:

本周文章涵盖了另一批精心呈现且详尽的中型文章,其中包括以下内容:

  • How can AI be employed to create a covid-safe working environmentstrong>

    如何使用AI创建安全可靠的工作环境strong>

  • Sign language translation with deep learning.

    通过深度学习进行手语翻译。

  • Implementation of face unlock feature for laptops.

    面向笔记本电脑的面部解锁功能的实现。

  • Fashion that can hide you from surveillance cameras.

    可以将您从监视摄像机中隐藏起来的时尚。

人工智能将助力安全返回工作场所。 这是Ganes Kesari的作品 (AI Will Power a Safe Return to the Workplace. Here’s how by Ganes Kesari)

AI-based solutions to guard workplaces and employees during and after the convronavirus pandemic

在禽流感大流行期间和之后,基于AI的解决方案可保护工作场所和员工

Ganes Kesari presents methods employers can leverage to create a safe environment for employees returning to the workplace.

Ganes Kesari提出了雇主可以利用的方法,为重返工作场所的员工创造安全的环境。

The methods and techniques presented by Ganes in his article utilize AI to create a data-centric and machine learning based approach to implementing procedures and arrangements to ensure creating a Covid free workplace environment is possible.

Ganes在他的文章中提出的方法和技术利用AI来创建以数据为中心和基于机器学习的方法来实施程序和安排,以确保创建Covid免费工作场所环境成为可能。

Ganes’s article starts with the inclusion of a software blueprint to how an AI workforce scheduling system could look like.

Ganes的文章首先包含了一个软件蓝图,以说明AI劳动力调度系统的外观。

The description of the system described by Ganes sounds simple enough, but obviously, the logistical and technical efforts could perhaps turn this into a 3–6 months project. Nonetheless, the workforce environment has changed, so it could be a project worth pursuing.

Ganes所描述的系统描述听起来很简单,但显然,后勤和技术上的努力可能会将其变成3到6个月的项目。 但是,劳动力环境已经改变,因此这可能是一个值得追求的项目。

Different groups have developed computer vision-based application in recent months that monitor social distancing amongst pedestrians. Ganes has included an image depicting social distance detector built by Landing AI in his article to give the reader an illustration of how social distance systems could be enforced within the workplace.

最近几个月,不同的小组开发了基于计算机视觉的应用程序,用于监视行人之间的 会距离。 甘尼斯(Ganes)在他的文章中包括一张描述着陆AI构建的 交距离探测器的图像,以向读者说明如何在工作场所内实施 交距离系统。

There are issues with privacy and cameras in non-public environments. Yet, an AI social distance tool within a workplace could be used in communal areas and public areas around the workplace.

在非公共环境中,隐私和相机存在问题。 但是,可以在工作场所的公共区域和公共区域中使用工作场所中的AI 交距离工具。

This article covers some intuitive approaches to AI solutions that can be applied within the work environment. This is a good read for tech-savvy employers for obvious reasons. The article doesn’t include technical jargons that the average digital native isn’t familiar with, and Ganes’s descriptive writing provides a clear illustration of the commencement of a covid-safe strategy.

出色的读物: (An excellent read for:)

  • Employers

    雇主

  • General audience

    普通观众

使用深度学习JoséHerazo进行手语识别 (Sign Language Recognition Using Deep Learning José Herazo)

An end to end description of how AI can aid with sign language translation

人工智能如何协助手语翻译的端到端描述

Using a dual-camera system and deep learning techniques, José Herazo presents a prototype of a vision-based sign language translation system.

JoséHerazo使用双摄像头系统和深度学习技术,展示了基于视觉的手语翻译系统的原型。

Within this article, José breaks down the processes involved in developing a sign language translation system created by deep learning techniques.

The article is broken down into three sections that provide details of the main work and approaches taken to develop the system.

The first section details the intuitions José takes within this project, including images that illustrate the camera positions and hardware components involved within the system.

第一部分详细介绍了José在此项目中采取的直觉,包括说明相机位置和系统中涉及的硬件组件的图像。

The second section is the aggregation of data utilized to train the implemented convolutional neural network. This section includes data sources and data augmentation techniques used to scale the number of training data.

第二部分是用于训练已实现的卷积神经 络的数据汇总。 本节包括用于缩放训练数据数量的数据源和数据增强技术。

The last section of this article contains a descriptive illustration of the actual convolution neural networks utilized within the sign translation system. Evaluation results of a trained model follow the description of the CNN architecture.

Read the article to discover how José project ended up performing, along with plans for future developments of the project.

阅读文章,了解José项目最终的执行情况,以及该项目未来开发的计划。

一个很好的阅读: (A good read for:)

  • Data Scientist

    数据科学家

  • Machine Learning Practitioners

    机器学习从业者

  • Machine Learning Hobbyists

    机器学习爱好者

使用人脸自动锁定和解锁具有计算机视觉的Ubuntu !!!! 巴拉·文卡特什(Bala Venkatesh) (Automatically Locking & Unlocking Ubuntu with Computer Vision Using a Human Face!!! Bala Venkatesh)

A step by step process of how to implement face unlocking feature within laptops

如何在笔记本电脑中实现人脸解锁功能的分步过程

Bala Venkatesh latest article is an easy step by step instruction article on how to implement computer vision face unlocking feature on a laptop device.

Bala Venkatesh的最新文章是有关如何在便携式设备上实现计算机视觉面部解锁功能的简单分步说明文章。

The project itself uses key data science and computer vision libraries and tools such as OpenCV, NumPy and Python.

该项目本身使用关键数据科学和计算机视觉库以及诸如OpenCV,NumPy和Python之类的工具。

This short but detailed article includes code snippets to execute various stages of the project. The key steps explained within the article are data aggregation, model training and testing.

Bala also includes a short YouTube video showing the built system in action. For more curious readers a GitHub repository link is included for exploration of source code.

Bala还包括一个简短的YouTube视频,展示了正在运行的内置系统。 对于更多好奇的读者,其中包括GitHub存储库链接,用于探索源代码。

出色的读物: (An excellent read for:)

  • Computer Vision Engineers

    计算机视觉工程师

  • Data Scientists

    数据科学家

这些帽衫使您对某些监视算法“看不见” Dave Gershgorn (These Hoodies Make You ‘Invisible’ to Some Surveillance Algorithms Dave Gershgorn)

Make a fashion statement and fool AI surveillance systems while you are at it.

随时发表时尚声明并愚弄AI监控系统。

Dave Gershgorn article explores research that marries fashion with AI.

Dave Gershgorn的文章探索了将时尚与AI相结合的研究。

The basis of the research is centred around the creation of clothing that utilizes adversarial attack techniques to avoid the detection of a person via surveillance system equipped with AI detection techniques.

该研究的基础集中在利用对抗性攻击技术来避免通过配备有AI检测技术的监视系统检测到人员的服装的创建。

Dave’s article provides a short description of the process used to develop the patterns printed on the clothing to fool these AI surveillance systems.

Dave的文章简要介绍了用于开发印刷在衣服上的图案以欺骗这些AI监视系统的过程。

The article includes the limitation of the items of clothing and technique, which is the lack of evasion from facial recognition equipped surveillance cameras.

The items of clothing can actually be purchased in a link provided within the article.

实际上,可以在商品内提供的链接中购买衣物。

So, if you’d like to make a rather intuitive fashion statement and evade detection from ‘some’ surveillance cameras, then perhaps these clothing might be your style!

因此,如果您想做出一个比较直观的时尚声明并逃避“某些”监控摄像机的检测,那么也许这些服装可能就是您的风格!

一个很好的阅读: (A good read for:)

  • Technologist

    技术专家

  • General Audience

    普通观众

我希望您觉得这篇文章有用。 (I hope you found the article useful.)

To connect with me or find more content similar to this article, do the following:

  1. Subscribe to my email list for weekly newsletters

    订阅我的电子邮件列表 每周通讯

  2. Follow me on Medium

    跟我来

  3. Connect and reach me on LinkedIn

    LinkedIn上联系并联系我

翻译自: https://towardsdatascience.com/interesting-ai-ml-articles-you-should-read-this-week-aug-9-dddbb25bb69c

ai/ml

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