Conference Tools of Tomorrow Tech Talks
ON SITE Bertha-Benz-Saal Thursday, May 05, 17:00

Unleashing the power of the artist with Machine Learning

Video on demand

It’s no secret that Machine Learning has been on the rise in visual effects. Over the past few years, we’ve seen the impact it’s had on the VFX industry and the technology that has emerged because of it. With its increased popularity comes an opportunity for a more streamlined and efficient way of working, but where did this all start?

Sitting down with Foundry’s Research Engineer Mairéad Grogan, we take a look at how Foundry is investigating cutting-edge Machine Learning technology to put into the hands of the VFX community and how it inspired the development of the CopyCat node in Nuke, giving artists full control over the types of effects they can generate using Machine Learning.

Mairéad Grogan, Research Engineer, Foundry

Mairéad Grogan is a Research Engineer at Foundry working as part of the AI Research Team. She received an MSc and PhD in Computer Science from Trinity College Dublin in 2013 and 2016, with her PhD dedicated to 3D shape and image processing. She was a postdoctoral researcher in the V-SENSE group for three years, working in various areas including light fields, color processing and image compositing. In 2020, she joined Foundry as a Research Engineer specialising in Machine Learning algorithms for 3D scene reconstruction and image processing tasks.