Tag: machine learning

Can We Be Wrong?

Can We Be Wrong?

I have a new book out. It’s called “Can We Be Wrong? The Problem of Textual Evidence in a Time of Data.” The goal of the book is to change the terms of debate surrounding the place of computational literary analysis within the field literary 

Detecting footnotes in 32 million pages of ECCO

Detecting footnotes in 32 million pages of ECCO

I’m very proud to be part of the collaborative project that produced this new article in the Journal of Cultural Analytics where we outline the process we used to visually detect footnotes in 32 million page images. (Full disclosure: I am the editor and to avoid conflict 

The Problem of (Gender) Binaries

The Problem of (Gender) Binaries

In their simplest form, computers work in binary. There are ones, and there are zeros and all the rest is context and combinations building more and more complex functions off of that binary. So it is maybe unsurprising that at .txtLAB, when we are dealing 

1000 Words

1000 Words

Lab member Fedor Karmanov has created a beautiful new project that combines machine vision, machine learning, and poetry. It is called “1,000 Words,” and takes the self-portraits of Van Gogh and generates poems based on the colours and items in the portrait. The poems consist 

AI across the Generations

AI across the Generations

I gave a talk today with Paul Yachnin to the McGill Community for Lifelong Learning on “Conscientious AI.” The idea for the event was to give the audience some understanding of how machine learning works and what you might do with it. We then asked