Kozminski Techblog

i Am gLitchinG

Greetings, my fellow readers and authors,

Today, I would like to touch upon another interesting topic that I deem to be SUPER interesting. Basically, there are different ways to process your pictures: Adobe Photoshop CC, CorelDraw, Gimp, and so on. Most of them use algorithms that are preloaded into the matrixes of the program. Yep, matrixes are why most graphic editors work. Anyhow, there is always a limitation to manual drawing techniques and people over the years have created many extensions and applications that can be enormously helpful when it comes to editing pictures. People wanted to find something new, something avant-garde. To be honest, that’s why most art styles created in the first place: a passion and desire for novelty and innovation.

And not much changed about it nowadays. In modern times, when technology is speeding forward, artists can’t ignore the progress and try to apply cutting edge technology to their artwork. Eventually, that is how Glitche was created. With a passion for glitch art, Vladimir Shreyder at  Glitche Ltd., a Russian lad who is now working in China, created the application for Apple iPhone back in 2016. Since then, the developer added plenty of new features that will come in handy for both professional and casual use. But recently it was announced that the developer is working on a new plugin or new application that now will fully support Big Data and Artificial Intelligence while processing your images. According to the company’s back-end developer Dmitry Yakovlev, the application already had the bits of machine learning and it still utilizes big data sets to create more refined images. Yet, as the new iPhone 11 came out with its promising potential with its U1 machine learning chip, the company claims that the presence of this chip on your iPhone’s motherboard is a huge factor when it comes to processing the image. As stated, the app would communicate with the host server to receive a finely refined image. Yes, it would work offline as well, but the quality would suffer. Therefore, the developers stress their accent on the fact that the U1 chip is the future of mobile image processing as well as giving a gradually deeper understanding for the developers who yet don’t know how powerful the AI and machine learning can be.

Please, find some of the examples attached. I can’t wait to get my hands on the new program, because I love this style and really wish there would be more options to create such stuff on-the-go.

Thanks a lot for reading! <3 UwU

Sources:

1. http://www.virose.pt/vector/x_06/moradi.html
2. http://www.josephinebosma.com/web/node/39
3. http://jonas.do/assets/essays/glitch-art-jonasdowney.pdf
4. https://sensortower.com/ios/us/glitche-ltd/app/glitche/634467171/overview
5. http://glitche.com/
6. https://apps.apple.com/us/app/glitch%C3%A9/id634467171
7. https://www.producthunt.com/alternatives/glitche