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https://soundraw.io/edit_music?m=677b71988d2e0200253c2463

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갤럭시 알람

https://soundraw.io/edit_music?m=677b70ddb588d1002a16b446

브이로그

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Try for free - AI Music Generator SOUNDRAW

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Start creating AI-generated music on SOUNDRAW for free. Dive into the world of music production without any upfront cost. Create, edit, and personalize your tracks seamlessly—perfect for experimenting and finding your sound. Keep in mind, music created with the free version is available for in-app use only.

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https://soundraw.io/edit_music?m=677b727609ab070024939e64

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Try for free - AI Music Generator SOUNDRAW

# data[].attributes.attachment_link.description
Start creating AI-generated music on SOUNDRAW for free. Dive into the world of music production without any upfront cost. Create, edit, and personalize your tracks seamlessly—perfect for experimenting and finding your sound. Keep in mind, music created with the free version is available for in-app use only.

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1. 딥페이크 실습 사이트

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1. 딥페이크 실습 사이트

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Bring portraits to life with AI magic. Instantly. Available on mobile and web for free.

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2. 인공지능 콘텐츠에 대한 PMIE 모둠 활동

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2. 인공지능 콘텐츠에 대한 PMIE 모둠 활동

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인공지능이 생성한 콘텐츠

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(구, 네이버 트랜드)

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네이버에서 얼마나 많이 검색되는지 궁금한 주제가 있으신가요? 네이버 검색데이터를 직접 조회해 보세요!

궁금한 주제어를 설정하고, 하위 주제어에 해당하는 검색어를 콤마(,)로 구분 입력해 주세요. 입력한 단어의 추이를 하나로 합산하여 해당 주제가 네이버에서 얼마나 검색되는지 관련 데이터를 제공합니다.

예) 주제어 캠핑 : 캠핑, Camping, 캠핑용품, 겨울캠핑, 캠핑장, 글랩핑, 오토캠핑, 캠핑카, 텐트, 캠핑요리

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네이버의 검색 트렌드 및 급상승검색어 이력, 쇼핑 카테고리별 검색 트렌드 제공

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코시스, 국가데이터처가 제공하는 원스톱 통계 서비스, 국가승인통계, 국제통계, 북한통계, e-지방지표, 통계시각화콘텐츠, 온라인간행물 등 제공

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https://app.tokkingheads.com/tokkingheads/ff0d51fa-9cd1-4eeb-abb7-17a47e3a53d8

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3. 데이터 공공성 관련 실습

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3. 데이터 공공성 관련 실습

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Sources

Language Use

This project purposefully avoids using the word "Artificial Intelligence", since there is nothing intelligent about these systems. I prefer to use the terms "machine learning" or "statistics on steroids", but I've settled on algorithms here.

Machine Learning models

Almost all the machine learning models used were downloaded "pre-trained" from open source projects I found on Github. This was done to make a point: we often say we should improve biased and/or error-prone machine learning models, but the reality is that most organisations don't train their own models. Instead, they use third parties that supply machine learning services, and it's in the interest of these parties to keep their systems as generic and "one size fits all" as possible. And then you have the parties who just implement whatever they can get their hands on, and hope nobody asks difficult questions.

The beauty scoring model was found on Github ( this or this one). The models to predict age, gender and facial expression/emotion are part of FaceApiJS, which forms the backbone of this project. Do note that its developer doesn't fully divulge on which photos the models were trained. Also, FaceApiJS is bad at detecting " Asian guys".

I actually trained the BMI prediction algorithm myself because I couldn't find any existing models that were small enough to use online. I downloaded all the BMI prediction projects I could find on Github, and was astonished to find some of them came with vast troves of photographs. I felt firty using them, but also felt that revealing what was going on was more important. I've documented some of the dodgy things I discovered along the way in this blogpost.

Videos, screenshots and other visual material

The videos were mainly constructed out of public domain source material from pexels.com and Pixabay.com. To the photographers who so kindly shared their work: thank you all for your wonderful generosity!

Other direct sources were used under the artistic, journalistic and educational copyright exception.

Specific sources

Attractiveness

TikTok (front page, recorded with a screen recorder). Their practise of showing content from beautiful people is explained here. While I couldn't confirm if TikTok does this algorithmically, Tinder actually has been on the record about this practice.

This academic research was the source of the beauty judgement interface. Another source was the SCUT-FCB dataset.

Age

Innovatrix offers surveillance systems that analyse the demographics of store visitors. The picture was downloaded form their website.

Tinder (front page, screenshot).

Gender

Check out This article if you want to understand why an algorithm that tries to sort people into just two categories can upset some people.

Body Mass Index (BMI)

The BMI prediction project that was created by researchers who work at Google can be found here (not anymore, they deleted it!). Although all signs point to this project being a part of Google's practise, I sent an email to the makers to verify this, and got a quick response that it was a personal project. I then changed the video to say "researchers who work at Google" intead of "Google's health lab in India".

For more juicy details I refer you to the in-depth blogpost mentioned earlier.

Life expectancy

There are a lof of projects on Github that explore this idea, some of them as part of (Kaggle) contests set-up by the insurance industry. After exploring how these worked, I created my own wishy-washy implementation. There is no machine learning involved here, it's just a lookup in a table of life expectancies per country, the average BMI in that country, and then a calculation on how BMI might affect that. There is very little merit in this calculation, but then again that doesn't seem to be a requirement for calling yourself a data scientist.

Closer / Face print

Deepcamai.com is no longer online, perhaps it was removed after the scandal around Rite Aid. It can still be found using the Internet Archive's wayback machine. The Chinese parent company Deepcam has a Chinese website. There is also an Australian website. Wait, it turns out the USA company has rebranded itself to PDActive. The website is virtually identical to the old deepcamai.com website.

The visual effect that shows how the video feed is first turned into a mathematical representation based on contrast is built using HOG descriptor. The code was modified to work in the browser.

Emotions

Surfing behaviour

Visual Website Optimizer - Video source

HotJar. Learn more about the screen recording feature here.

Mouse movement was recorded using a small script called Wix client recorder (MIT license). As always, this runs in your own browser - the recording never leaves your computer, and will be gone as soon as you close the browser window.

Tip: you can protect yourself from these practices by installing browser addons such as uBlock Origin and uMatrix. Also check out Privacy Badger, HTTPS Everywhere, and Decentraleyes.

Conclusion

Jon Penney researched how Wikipedia was used after the Snowden revelations, and noticed that pages about sensitive topics such as terrorism were visited less. Later research strengthened the notion that this was caused by self-censorship.

You may also enjoy the follow-up game I made: AreYouYou.eu.

EU funded

This project has received funding from the European Union's Horizon 2020 research and innovation programme, under grant agreement No 786641.

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In this test face detection algorithms will determine how normal you are. 100% privacy friendly.

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Beethoven Beats by Artist in Residence at Google Arts & Culture Lab: Simon Doury - Experiments with Google

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Since 2009, coders have created thousands of amazing experiments using Chrome, Android, AI, WebVR, AR and more. We’re showcasing projects here, along with helpful tools and resources, to inspire others to create new experiments.

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Assisted Melody by Google Magenta in collaboration with Artist in Residence at Google Arts & Culture Lab: Simon Doury - Experiments with Google

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Since 2009, coders have created thousands of amazing experiments using Chrome, Android, AI, WebVR, AR and more. We’re showcasing projects here, along with helpful tools and resources, to inspire others to create new experiments.

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2.5단계. 딥러닝+커스터마이징

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2.5단계. 딥러닝+커스터마이징

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SOUNDRAW | AI Music Generator - Royalty Free Beats

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AI music generator that lets you create royalty free beats in seconds. Customize every instrument, download stems, monetize your music-try SOUNDRAW for free.

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Create stunning original music for free in seconds using our AI generator. Make your own masterpieces, share with friends, and discover music from artists worldwide.

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https://app.tokkingheads.com/tokkingheads/02b6db7a-659b-42f1-8e3a-1a94682a3a12

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https://app.tokkingheads.com/tokkingheads/6d341100-b4cc-4ca4-8de4-9fe5dcb1fac3