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Today we are excited to announce two new parts of ml5.js: a new and improved Code of Conduct and our very own software license. These are part of our ongoing work to make machine learning for the web friendlier. …


A purple and pink graphic reading “ml5.js Code of Conduct: Call for Comment”
ml5.js Code of Conduct: Call for Comment

Today we are asking for your help to make ml5.js even better.

We are always looking for ways to help ml5.js live up to its goal of being a neighborly approach to creating and exploring artificial intelligence in the browser. We have been working on a new way to do…


Every few months we want to highlight creative projects from people in our community—that means you! If you have a project you’d like to submit to the round-up, submit it through this form. This month we’re featuring work from Yining Shi’s Machine Learning for the Web class.

Machine Learning for…


The ml5.js team is so excited to announce some new changes to the project.

We have a new release! 🎉


Written by Itay Niv. Edited by Ashley Jane Lewis.

Using ml5 SketchRNN as a homage to endpapers in bookbinding tradition

The Heart of Reading Together

In a society full of screens as potential social inhibitors, the work of ITP student Itay Niv has been a whimsical breathe of fresh air, blowing the cobwebs off of a timeless idea — tech that brings loved ones together. His…


In conversation with ITP SIRs Nikita Huggins & Ayodamola Okunseinde

In 2019 the conversational pairing of diversity and machine learning largely results in rediscoveries of biased societal patterns but the subject matter offers much more nuance to be explored. This redundant rhetoric needs more heart, more compassion and, before all else, more creative applications that nudge us to be self-reflective…


In Conversation with ITP SIR Stefania Druga

At ITP, the list of career goals is long, ambitious and, some might also argue, lofty. Being a Lego Fellow would be cool, incubating a project at the MIT Media Lab would be a dream, contributing to the world of tech ed would be meaningful, etc. Few of us live…


Originally published at itp.nyu.edu on June 11, 2018.

By Daniel Shiffman and ml5.js collaborators
Animated comic by Elizabeth Ferguson

Daniel Shiffman is an Associate Arts Professor at ITP. ml5.js is the product of contributions from students, research residents, faculty and alumni from the NYU ITP community, as well as a friendly cohort of other collaborators. …

ml5.js

Friendly Machine Learning for the Web. ml5.js aims to make machine learning approachable for a broad audience of artists, creative coders, and students.

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