CAN 2016 – Highlights and Favourites

At its best, creative inquiry offers intellectual nourishment, empowerment and solace. At the end of 2016, we need all of those, which is why remembering – and celebrating – the outstanding work done this year is all the more important. Over the past twelve months we’ve added more than 100 projects to our archive – and with your help we’ve selected the favourite ones!

24/12/2016
Stories of Driverless Governance: Equality Analytics

Sorry, this is Members Only content. Please Log-in. Join us today by becoming a Member. Archive: More than 3,500 project profiles, scores of essays, interviews and reviews.Publish: Post your projects, events, announcements.No Ads: No advertisements, miners, banners.Education: Tutorials (beginners and advanced) with code examples, downloads.Jobs Archive: Find employers who have recruited here in the past…

15/08/2016

At its best, creative inquiry offers intellectual nourishment, empowerment and solace. At the end of 2016, we need all of those, which is why remembering – and celebrating – the outstanding work done this year is all the more important. Over the past twelve months we’ve added more than 100 projects to our archive – and with your help we’ve selected the favourite ones!

Earlier this year SFPC in NYC was the host to alt-AI, a conference organised by Lauren Gardner and Gene Kogan to highlight and question artificial intelligence through the lens of artistic practice.

Sorry, this is Members Only content. Please Log-in. Join us today by becoming a Member. Archive: More than 3,500 project profiles, scores of essays, interviews and reviews.Publish: Post your projects, events, announcements.No Ads: No advertisements, miners, banners.Education: Tutorials (beginners and advanced) with code examples, downloads.Jobs Archive: Find employers who have recruited here in the past…

Created by a Golan Levin, David Newbury, and Kyle McDonald, with the assistance of Golan’s students at CMU, Terrapattern is a visual search tool for satellite imagery that provides journalists, citizen scientists, and other researchers with the ability to quickly scan large geographical regions for specific visual features.

The following is a documentation of a new course ran by Gene Kogan on Machine Learning for Artists at ITP-NYU in spring 2016.

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