ai/ml

分析與意見 (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.

我想從AI / ML文章的每周匯編列表開始，表達對本周悲劇事件影響的Beruit和Kerala居民的聲援。

My condolences to the families and friends of the victims.

我向遇難者的家人和朋友表示慰問。

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

本周文章涵蓋了另一批精心呈現且詳盡的中型文章，其中包括以下內容：

• How can AI be employed to create a covid-safe working environment?

  如何使用AI創建安全可靠的工作環境？

• Sign language translation with deep learning.

  通過深度學習進行手語翻譯。

• Implementation of face unlock feature for laptops.

  面向筆記本電腦的面部解鎖功能的實現。

• Fashion that can hide you from surveillance cameras.

  可以將您從監視攝像機中隱藏起來的時尚。

人工智能將助力安全返回工作場所。 這是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

在禽流感大流行期間和之后，基于AI的解決方案可保護工作場所和員工

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，為重返工作場所的員工創造安全的環境。

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術利用AI來創建以數據為中心和基于機器學習的方法來實施程序和安排，以確保創建Covid免費工作場所環境成為可能。

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個軟件藍圖，以說明AI勞動力調度系統的外觀。

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所描述的系統描述聽起來很簡單，但顯然，后勤和技術上的努力可能會將其變成3到6個月的項目。 但是，勞動力環境已經改變，因此這可能是一個值得追求的項目。

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.

最近幾個月，不同的小組開發了基于計算機視覺的應用程序，用于監視行人之間的社會距離。 甘尼斯(Ganes)在他的文章中包括一張描述著陸AI構建的社交距離探測器的圖像，以向讀者說明如何在工作場所內實施社交距離系統。

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.

在非公共環境中，隱私和相機存在問題。 但是，可以在工作場所的公共區域和公共區域中使用工作場所中的AI社交距離工具。

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.

本文介紹了可以在工作環境中應用的一些AI解決方案的直觀方法。 出于明顯的原因，這對于精通技術的雇主來說是一本好書。 本文不包括普通數字本地人不熟悉的技術術語，而Ganes的描述性文字清楚地說明了安全共謀策略的開始。

出色的讀物： (An excellent read for:)

• Employers

  雇主

• General audience

  普通觀眾

使用深度學習JoséHerazo進行手語識別 (Sign Language Recognition Using Deep Learning José Herazo)

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

人工智能如何協助手語翻譯的端到端描述

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

JoséHerazo使用雙攝像頭系統和深度學習技術，展示了基于視覺的手語翻譯系統的原型。

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

在本文中，José細分了開發由深度學習技術創建的手語翻譯系統的過程。

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

本文分為三個部分，提供了開發該系統的主要工作和方法的詳細信息。

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.

第一部分詳細介紹了José在此項目中采取的直覺，包括說明相機位置和系統中涉及的硬件組件的圖像。

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.

第二部分是用于訓練已實現的卷積神經網絡的數據匯總。 本節包括用于縮放訓練數據數量的數據源和數據增強技術。

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.

本文的最后一部分包含對符號翻譯系統中使用的實際卷積神經網絡的描述性說明。 經過訓練的模型的評估結果遵循CNN架構的描述。

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

閱讀文章，了解José項目最終的執行情況，以及該項目未來開發的計劃。

一個很好的閱讀： (A good read for:)

• Data Scientist

  數據科學家

• Machine Learning Practitioners

  機器學習從業者

• Machine Learning Hobbyists

  機器學習愛好者

使用人臉自動鎖定和解鎖具有計算機視覺的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

如何在筆記本電腦中實現人臉解鎖功能的分步過程

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的最新文章是有關如何在便攜式設備上實現計算機視覺面部解鎖功能的簡單分步說明文章。

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

該項目本身使用關鍵數據科學和計算機視覺庫以及諸如OpenCV，NumPy和Python之類的工具。

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.

這篇簡短而詳盡的文章包括用于執行項目各個階段的代碼段。 本文中介紹的關鍵步驟是數據聚合，模型訓練和測試。

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還包括一個簡短的YouTube視頻，展示了正在運行的內置系統。 對于更多好奇的讀者，其中包括GitHub存儲庫鏈接，用于探索源代碼。

出色的讀物： (An excellent read for:)

• Computer Vision Engineers

  計算機視覺工程師

• Data Scientists

  數據科學家

這些帽衫使您對某些監視算法“看不見” 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.

隨時發表時尚聲明并愚弄AI監控系統。

Dave Gershgorn article explores research that marries fashion with AI.

Dave Gershgorn的文章探索了將時尚與AI相結合的研究。

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.

該研究的基礎集中在利用對抗性攻擊技術來避免通過配備有AI檢測技術的監視系統檢測到人員的服裝的創建。

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的文章簡要介紹了用于開發印刷在衣服上的圖案以欺騙這些AI監視系統的過程。

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

本文包括服裝和技術項目的局限性，即缺少配備面部識別功能的監控攝像機的回避。

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

實際上，可以在商品內提供的鏈接中購買衣物。

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，如果您想做出一個比較直觀的時尚聲明并逃避“某些”監控攝像機的檢測，那么也許這些服裝可能就是您的風格！

一個很好的閱讀： (A good read for:)

• Technologist

  技術專家

• General Audience

  普通觀眾

我希望您覺得這篇文章有用。 (I hope you found the article useful.)

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

要與我聯系或查找更多類似于本文的內容，請執行以下操作：

Subscribe to my email list for weekly newsletters

訂閱我的電子郵件列表 每周通訊

Follow me on Medium

跟我來中

Connect and reach me on LinkedIn

在LinkedIn上聯系并聯系我

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

ai/ml

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