“Although our study doesn’t present ways to mitigate negative hunger-induced emotions, research suggests that being able to label an emotion can help people to regulate it, such as by recognising that we feel angry simply because we are hungry. Therefore, greater awareness of being ‘hangry’ could reduce the likelihood that hunger results in negative emotions and behaviours in individuals.”
https://law.duke.edu/sites/default/files/centers/cspd/musiccomic/Theft.pdf
This comic lays out 2000 years of musical history. A neglected part of musical history. Again and again there have been attempts to police music; to restrict borrowing and cultural cross-fertilization. But music builds on itself. To those who think that mash-ups and sampling started with YouTube or the DJ’s turntables, it might be shocking to find that musicians have been borrowing—extensively borrowing—from each other since music began. Then why try to stop that process? The reasons varied. Philosophy, religion, politics, race—again and again, race—and law. And because music affects us so deeply, those struggles were passionate ones. They still are.
The history in this book runs from Plato to Blurred Lines and beyond. You will read about the Holy Roman Empire’s attempts to standardize religious music with the first great musical technology (notation) and the inevitable backfire of that attempt. You will read about troubadours and church composers, swapping tunes (and remarkably profane lyrics), changing both religion and music in the process. You will see diatribes against jazz for corrupting musical culture, against rock and roll for breaching the color-line. You will learn about the lawsuits that, surprisingly, shaped rap. You will read the story of some of music’s iconoclasts—from Handel and Beethoven to Robert Johnson, Chuck Berry, Little Richard, Ray Charles, the British Invasion and Public Enemy.
To understand this history fully, one has to roam wider still—into musical technologies from notation to the sample deck, aesthetics, the incentive systems that got musicians paid, and law’s 250 year struggle to assimilate music, without destroying it in the process. Would jazz, soul or rock and roll be legal if they were reinvented today? We are not sure. Which as you will read, is profoundly worrying because today, more than ever, we need the arts.
All of this makes up our story. It is assuredly not the only history of music. But it is definitely a part—a fascinating part—of that history. We hope you like it.
Creates an infinite remix of an audio file by finding musically similar beats and computing a randomized play path through them. The default choices should be suitable for a variety of musical styles. This work is inspired by the Infinite Jukebox (http://www.infinitejuke.com) project creaeted by Paul Lamere
It groups musically similar beats of a song into clusters and then plays a random path through the song that makes musical sense, but not does not repeat. It will do this infinitely.
What is Unmixer?
Unmixer does two things: first, it lets you extract loops from any song; second, it lets you remix these loops in a simple interface.
How do I use it?
Upload a song: drag and drop an audio file (MP3, MP4) into the box with the dotted line
Wait for results: processing a new song can take several minutes.
Remix the loops: turn each sound on and off by clicking the box.
Upload more songs: you can mash-up sounds from as many songs as you like.
Extra features:
The BPM indicator in the top right lets you choose the global tempo.
The download button allows you to save a zipfile of all the loops, along with a map of where they occur in the piece.
Simon Popper, Ulysses, [a reinterpretation of James Joyce’s Ulysses (1922) rearranging all the words in the original book in alphabetical order], Privately Printed by Die Keure, Brugge/Bruges, 2006, Limited Edition of 1000 [Motto Books, Geneva]
Welcome to Smithsonian Open Access, where you can download, share, and reuse millions of the Smithsonian’s images—right now, without asking. With new platforms and tools, you have easier access to more than 3 million 2D and 3D digital items from our collections—with many more to come. This includes images and data from across the Smithsonian’s 19 museums, nine research centers, libraries, archives, and the National Zoo.
What will you create?
Download :https://github.com/Tw1ddle/geometrize/releases
Features
Recreate images as geometric primitives.
Start with hundreds of images with preset settings.
Export geometrized images to SVG, PNG, JPG, GIF and more.
Export geometrized images as HTML5 canvas or WebGL webpages.
Export shape data as JSON for use in custom projects and creations.
Control the algorithm at the core of Geometrize with ChaiScript scripts.
Web scraping describes techniques for automatically downloading and processing web content, or converting online text and other media into structured data that can then be used for various purposes. In short, the user writes a program to browse and analyze the web on their behalf, rather than doing so manually. This is a common practice in silicon valley, where open html pages are transformed into private property: Facebook began as a (horny) web scraping project, as did Google and all other search engines. Web scraping is also frequently used to acquire the massive datasets needed to train machine learning models, and has become an important research tool in fields such as journalism and sociology.
I define "scrapism" as the practice of web scraping for artistic, emotional, and critical ends. It combines aspects of data journalism, conceptual art, and hoarding, and offers a methodology to make sense of a world in which everything we do is mediated by internet companies. These companies surveill us, vacuum up every trace we leave behind, exploit our experiences and interject themselves into every possible moment. But in turn they also leave their own traces online, traces which when collected, filtered, and sorted can reveal (and possibly even alter) power relations. The premise of scrapism is that everything we need to know about power is online, hiding in plain sight.
This is a work-in-progress guide to web scraping as an artistic and critical practice, created by Sam Lavigne. I will be updating it over the coming months! I'll also be doing occasional live demos either on Twitch or YoutTube.
Shrub is a tool for painting-and-traveling, and even for painting while moving your own body (for example to use the color of your own pants).
If you touch with two fingers, you can immediately send your drawing as an SMS message. Shrub is designed as a mobile communication tool as much as a mobile drawing tool.
More pro tips: For the best drawings, pinch with your fingers to change the brush size. Twist with your fingers to change the brush softness. And of course, tap with one finger to show and hide the viewfinder.
Blackout poetry is made by colouring over parts of an existing text, so that only selected words remain visible, creating a poem.
To use this tool, you can select a text from the samples, or paste your own text source into the custom text field. Your chosen text will appear in the large box to the right.
With your mouse or touchscreen, select the words from the text you want to keep, and, when you are ready, press the black out button.
If you want to save the result as an image, maybe to post to your social network of choice, scroll down and hit Render as image. You can then save the image directly to your device.
3d collages composed in Unity with scans collected in botanic gardens, backyards, beaches, natural parks…
New rules for old games! The Board Game Remix Kit is a collection of tips, tweaks, reimaginings and completely new games that you can play with the board and pieces from games you might already own: Monopoly, Cluedo, Scrabble and Trivial Pursuit.
The 26 rule tweaks and new games include:
Full Houses: poker, but played with Monopoly properties
Citygrid: a single-player city-building game
Use Your Words: Scrabble with storytelling
Them's Fightin' Words: a game of making anagrams, and arguing about which one would win in a fight
Hunt the Lead Piping: hiding and searching for the Cluedo pieces in your actual house
Guess Who Done It: A series of yes/no questions to identify the murderer (contributed by Meg Pickard)
Zombie Mansion: use the lead piping to defend the Cluedo mansion
Judy Garland on the Moon with a Bassoon: a drawing game that uses the answers to trivia questions as prompts
The Board Game Remix Kit was originally released in 2010 by the company Hide&Seek (which closed in 2014). We are releasing it here as a pdf (for phones/computers) and an epub (for ereaders) under a CC-BY-SA license.
The Organization for Transformative Works (OTW) is a nonprofit organization, established by fans in 2007, to serve the interests of fans by providing access to and preserving the history of fanworks and fan culture in its myriad forms. We believe that fanworks are transformative and that transformative works are legitimate.
We are proactive and innovative in protecting and defending our work from commercial exploitation and legal challenge. We preserve our fannish economy, values, and creative expression by protecting and nurturing our fellow fans, our work, our commentary, our history, and our identity while providing the broadest possible access to fannish activity for all fans.
ComboGAN: Unrestrained Scalability for Image Domain Translation Asha Anoosheh, Eirikur Augustsson, Radu Timofte, Luc van Gool In Arxiv, 2017.
https://arxiv.org/pdf/1712.06909.pdf
This year alone has seen unprecedented leaps in the area of learning-based image translation, namely CycleGAN, by Zhuet al. But experiments so far have been tailored to merely two domains at a time, and scaling them to more would re-quire an quadratic number of models to be trained. And with two-domain models taking days to train on current hardware,the number of domains quickly becomes limited by the time and resources required to process them. In this paper, we pro-pose a multi-component image translation model and training scheme which scales linearly - both in resource consumption and time required - with the number of domains. We demonstrate its capabilities on a dataset of paintings by 14different artists and on images of the four different seasons in the Alps. Note that 14 data groups would need(14choose2) =91 different CycleGAN models: a total of 182 genera-tor/discriminator pairs; whereas our model requires only 14generator/discriminator pairs
UNIT: UNsupervised Image-to-image Translation Networks : https://github.com/mingyuliutw/UNIT
Literary analysts have long noticed the hand of another author in Shakespeare’s Henry VIII. Now a neural network has identified the specific scenes in question—and who actually wrote them.
For much of his life, William Shakespeare was the house playwright for an acting company called the King’s Men that performed his plays on the banks of the River Thames in London. When Shakespeare died in 1616, the company needed a replacement and turned to one of the most prolific and famous playwrights of the time, a man named John Fletcher.
Create beautiful, wild and weird images with GAN.
A light Rust API for Multiresolution Stochastic Texture Synthesis [1], a non-parametric example-based algorithm for image generation.
Despite the rise of ebooks, the interest in cover design and the look of physical books is probably stronger than ever. The rate of books being published grows ever higher, and they all need covers, even if it's just a thumbnail for a Kindle edition on Amazon.
Cover designers the world over have access, via online art databases and stock libraries, to a vast array of images that can be used to decorate and, with any luck, sell books. Unfortunately, all those designers tend to have access to the same databases and libraries, which means you sometimes end up with books which feature photographs that look strangely familiar…
The ship wherein Theseus and the youth of Athens returned from Crete had thirty oars, and was preserved by the Athenians down even to the time of Demetrius Phalereus, for they took away the old planks as they decayed, putting in new and stronger timber in their places, insomuch that this ship became a standing example among the philosophers, for the logical question of things that grow; one side holding that the ship remained the same, and the other contending that it was not the same.
— Plutarch, Theseus
It's all a game of construction — some with a brush, some with a shovel, some choose a pen.
Jackson Pollock
…and some, including myself, choose neural networks. I’m an artist, and I've also been building commercial software for a long while. But art and software used to be two parallel tracks in my life; save for the occasional foray into generative art with Processing and computational photography, all my art was analog… until I discovered GANs (Generative Adversarial Networks).
Since the invention of GANs in 2014, the machine learning community has produced a number of deep, technical pieces about the technique (such as this one). This is not one of those pieces. Instead, I want to share in broad strokes some reasons why GANs are excellent artistic tools and the methods I have developed for creating my GAN-augmented art.
https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix
https://people.eecs.berkeley.edu/~taesung_park/CycleGAN/datasets/
https://github.com/eriklindernoren/PyTorch-GAN
https://heartbeat.fritz.ai/introduction-to-generative-adversarial-networks-gans-35ef44f21193
https://github.com/nightrome/really-awesome-gan
https://github.com/zhangqianhui/AdversarialNetsPapers
https://github.com/io99/Resources
https://github.com/yunjey/pytorch-tutorial
https://github.com/bharathgs/Awesome-pytorch-list
https://old.reddit.com/r/MachineLearning
http://www.codingwoman.com/generative-adversarial-networks-entertaining-intro/
https://medium.com/@jonathan_hui/gan-gan-series-2d279f906e7b
https://www.youtube.com/channel/UC9OeZkIwhzfv-_Cb7fCikLQ/videos
https://www.youtube.com/watch?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi&v=aircAruvnKk
https://www.youtube.com/watch?list=PLxt59R_fWVzT9bDxA76AHm3ig0Gg9S3So&v=ZzWaow1Rvho